Key Responsibilities:

• Serve as a technical lead on 8-10 multiple strategic opportunities, directly influencing the deal cycles and accelerating revenue growth.
• Become the definitive subject matter expert on Komodo's comprehensive suite of healthcare data assets and platform capabilities.
• Garner subject matter expertise and ownership of a segment within the Partnerships / Channel Partnerships organization.
• Develop scalable technical frameworks, demo environments, and reusable assets that have set new organizational standards with a heavy emphasis on agentic AI workflows.
• Drive cross-functional initiatives by partnering with Product, Data Science, and Engineering to deliver customized, innovative solutions.

Requirements:

• 7+ years of experience in Sales Engineering or Solutions Engineering with a focus on healthcare data and healthcare technology.
• Proven track record of understanding and leveraging AI tools to enhance SaaS products or improve operational workflows.
• Expertise in healthcare data (e.g., 837/835 transactions, NDC codes) and its practical applications in analytics, reporting, and decision-making.
• Strong technical skills, including experience with APIs, data integration, cloud-based architectures (e.g., AWS, Azure), and analyzing large datasets.
• An understanding and proficiency of data science techniques, specifically SQL, Python, and/or R.
• Excellent communication and presentation skills, with the ability to train partners and translate complex technical concepts for diverse stakeholders.

Preferred Skills:

• Experience working within the provider, payer, or financial service segments.
• Technical certifications in AWS, Azure, or data platforms.
• Experience with CRM platforms like Salesforce for managing partner and client interactions.
• Familiarity with data visualization tools (e.g., Tableau, Looker) to create impactful partner training materials.
• Knowledge of identity resolution and privacy-preserving linking technologies.
• Prior experience developing joint business plans and co-sell strategies with channel partners.

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Key responsibilities include:

• Managing the end-to-end delivery of analytics projects, from scoping and planning to execution and delivery
• Translating ambiguous business questions into tractable data analysis projects
• Interpreting and investigating data and statistical questions that arise through the delivery of client work
• Collaborating with cross-functional teams, including Data Science, Engineering, and Product Management, to ensure alignment on project goals and deliverables
• Serving as the primary point of contact for clients, addressing any concerns or issues that may arise during the project lifecycle
• Monitoring project progress and performance, proactively identifying risks and implementing mitigation strategies as needed

To be successful in this role, you will need to have a strong background in analytics and project management, with experience leading cross-functional teams and managing client relationships. You will also need to have excellent communication and presentation skills, with the ability to convey complex analytical concepts to non-technical audiences.

In addition to your technical skills and experience, you will need to be able to integrate AI into your daily work, from summarizing documents to automating workflows and uncovering insights. This is a pivotal moment in time, where being first to market with AI transforms industries and sets the bar.

If you are a motivated and experienced professional looking to join a dynamic team and contribute to the development of cutting-edge analytics solutions, please apply today!

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In this role, you will be responsible for managing the end-to-end delivery of analytics projects, collaborating with cross-functional teams, and serving as the primary point of contact for clients. You will also be responsible for monitoring project progress and performance, proactively identifying risks and implementing mitigation strategies as needed.

To be successful in this role, you will need to have a strong background in healthcare analytics, excellent project management skills, and the ability to communicate complex analytical concepts to non-technical audiences. You will also need to be proficient in data analysis tools and programming languages such as SQL, Python, or R.

At Komodo Health, we are committed to using AI strategically to solve problems and generate new ideas. We expect every team member to integrate AI into their daily work, from summarizing documents to automating workflows and uncovering insights.

If you are a motivated and experienced professional looking to join a dynamic team, please submit your application.

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About the Position

As a Data Scientist on the platform prediction team, you will translate our probability of success predictions into measurable portfolio-level outcomes. You will architect core systems that let us rigorously evaluate signals from our AI-driven predictions in public and private equities and our internal portfolio.

This role sits at the intersection of quantitative finance, healthcare data, and AI-driven drug development. If you're excited about applying portfolio construction and risk management fundamentals to one of the most consequential prediction problems in healthcare, this is the role.

Responsibilities

• Work with the team to implement and maintain core portfolio engine: order management system, execution simulation layer, portfolio construction service, and performance tracking
• Design risk frameworks that quantify exposure across a portfolio of drug development bets with radically different risk profiles, timelines, and failure modes
• Run rigorous backtesting experiments with strict temporal constraints to evaluate Formation strategies against baseline approaches and measure marginal signal from new evidence sources
• Coordinate across the organization to integrate internal Formation data sources (clinical trial data, genomic evidence, real-world data) and proprietary tooling into portfolio analytics pipelines
• Work with product and engineering teams to build dashboards and reporting that communicate portfolio performance, risk metrics, and strategy comparisons to both technical and executive stakeholders
• Collaborate with the broader data science team to ensure portfolio-level evaluation feeds back into model improvement and evidence prioritization

About You

We are looking for a highly motivated and experienced Data Scientist to join our team. The ideal candidate will have a strong background in data science, machine learning, and software development, with a proven track record of delivering high-quality results in a fast-paced environment.

Requirements

• MS or PhD in a quantitative field (statistics, finance, physics, computational science, engineering, or related)
• 1-3 years in a quantitative research, data science, or analytics role , finance, healthcare, academic research, or consulting all count; substantive internships qualify
• Strong Python programming skills with experience in data-intensive workflows (pandas, numpy, scipy)
• Solid grasp of core portfolio construction and risk concepts: position sizing, rebalancing, Sharpe ratio, drawdown, volatility, benchmark comparison
• Demonstrated ability to work with messy, real-world datasets , comfortable with data wrangling, deduplication, and quality assessment
• Clear communicator who can present quantitative results to both technical peers and business stakeholders

Preferred Qualifications

• Experience with backtesting frameworks or portfolio simulation (vectorbt, Backtrader, or custom implementations)
• Exposure to healthcare, pharma, or biotech data (clinical trials, claims data, -omics, real-world evidence)
• Familiarity with alternative data in a research or investment context
• Experience with probability-of-success modeling, drug development decision analysis, or health economics
• Comfort with LLMs or AI/ML pipelines in a production or research setting
• Familiarity with dashboard/visualization tools (Streamlit, Plotly, Dash) and pipeline orchestration (Dagster, Airflow)

Total Compensation Range: $154,500 - $202,000

**Compensation Individual compensation is determined by several factors, including role scope, geographic location, and skills & experience. Your offer will reflect where you fall within the range based on these considerations. In addition to base salary, we offer equity, comprehensive benefits, and generous perks. If the posted range doesn't match your expectations, we still encourage you to apply!

**Where We Hire Formation Bio is prioritizing hiring in key hubs, primarily the New York City and Boston metro areas, with a hybrid model requiring 3 days per week in office. Applicants from the Research Triangle (NC) and San Francisco Bay Area may also be considered. Please apply only if you reside in these locations or are willing to relocate.

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You will influence data strategy, drive build-vs-buy evaluations, and meaningfully shift Komodo's AI-native infrastructure and culture. Your responsibilities will include:

• Helping design company-wide AI vision, standards, and reference architectures.
• Defining and building foundational AI platforms (e.g., internal agent frameworks, orchestration systems).
• Acting as a multiplier by mentoring teams, running workshops, and driving organizational knowledge sharing.
• Making high-level technical decisions, including evaluating major build-vs-buy choices for platforms and tooling.
• Shaping Komodo's data strategy from an AI perspective,requirements, quality, orientation, and long-term structure.
• Leading complex applied research initiatives that push Komodo into new AI capability frontiers.
• Ensuring Komodo's AI systems meet high bars for reliability, accountability, ethics, and transparency.

The ideal candidate will be a recognized expert in applied AI with demonstrated impact across multiple teams or organizational domains. They will have extensive experience architecting end-to-end AI systems, multi-agent architectures, and large-scale orchestration frameworks. They will also have strong fluency in Python, GenAI frameworks (vLLM, Strands, Crew AI), and full-stack system integration.

We offer a competitive salary range of $274,000-$322,000 USD per year, depending on location. This role may be eligible for performance-based bonuses and equity awards. We also offer comprehensive health, dental, and vision insurance, flexible time off and holidays, 401(k) with company match, disability insurance and life insurance, and leaves of absence in accordance with applicable state and local laws and regulations and company policy.

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You'll partner closely with our Life Sciences team, which builds deep scientific partnerships with research institutions and identifies high-impact deployment opportunities. Your focus is on the clinical and operational side of these institutions,translating interest into commercial agreements, driving new pipeline independently, and expanding Claude's footprint across partner organizations.

You'll also collaborate with Account Executives covering affiliated universities to ensure a unified Anthropic presence and identify cross-sell opportunities where academic medical centers and universities share governance or procurement.

Academic medical centers typically don't have large internal development teams, so you'll be selling to buyers who are thinking about integration into clinical systems, EHRs, and operational platforms,not building from scratch.

Note: This role will evolve as we scale. You'll help define the coverage model for academic medical centers as the team grows, and the scope may sharpen over time as we build out dedicated verticals.

Responsibilities:

• Own the full sales cycle for academic medical centers,from prospecting and qualification through negotiation and close
• Build and manage a pipeline of net-new opportunities, targeting clinical leadership, CMIOs, CIOs, and operational executives
• Partner with our Life Sciences team to commercialize relationships and identify expansion opportunities across partner institutions
• Coordinate with Account Executives covering affiliated universities to navigate shared governance and procurement
• Navigate complex procurement processes, including BAAs, compliance reviews, and multi-stakeholder buying committees
• Develop deep expertise in how Claude can support clinical workflows, administrative operations, and care delivery
• Partner with Solutions Architecture to scope technical implementations and integrations
• Represent Anthropic's mission and values in every customer interaction

Primary Use Case Focus:

• Clinical Documentation: Ambient listening, note generation, discharge summaries, clinical decision support
• Operational Efficiency: Prior authorization, revenue cycle optimization, scheduling, patient communication
• Care Coordination: Care management workflows, transitions of care, population health
• Administrative Workflows: HR, finance, compliance, quality reporting

You may be a good fit if you have:

• 5+ years of enterprise sales experience selling into academic medical centers or large health systems
• Direct experience selling enterprise software to medical centers OR major medical equipment/devices
• Demonstrated ability to navigate complex, multi-stakeholder sales cycles with CMIOs, CIOs, and clinical leadership
• Comfort with technical conversations about APIs, integrations, and healthcare data standards (HL7, FHIR)
• Track record of building pipeline from scratch and closing net-new business
• Understanding of healthcare compliance requirements (HIPAA, BAAs, security reviews)
• Genuine curiosity about AI and its potential to improve healthcare delivery

Strong candidates may also have:

• Experience selling to both the clinical and IT sides of health systems
• Existing relationships with academic medical center leadership
• Background in clinical operations, health IT, or healthcare consulting
• Experience with EHR integrations and clinical workflow design
• Familiarity with AI/ML applications in healthcare

Compensation & Logistics:

• Competitive base + variable compensation
• Equity participation
• Location: San Francisco preferred; remote (US) considered for exceptional candidates
• Travel: ~25-40% depending on territory

Annual compensation range for this role is $290,000-$435,000 USD

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Key Responsibilities:

• Own a significant portion of direct project delivery for client engagements, with support from team members as needed.
• Serve as the primary point of contact for clients throughout the AI engagement lifecycle, from initial scoping and pilot design through execution and final delivery.
• Lead strategic advisory conversations with senior client stakeholders, translating Komodo's AI capabilities into actionable solutions for their business needs.
• Manage 3-5 concurrent AI engagements, balancing timelines, deliverables, and client expectations across accounts.
• Support presales and renewal conversations by bringing credible AI and life sciences expertise to the table.
• Proactively identify risks and opportunities within client engagements, escalating or acting as appropriate.
• Contribute to the development of the AI engagement practice by documenting learnings and refining delivery processes over time.

Requirements:

• Willingness to travel approximately 50% of the time to support client engagements.
• Experience in management consulting with a focus on strategic advisory work, preferably at a top-tier or life sciences-focused firm.
• Direct experience working with pharmaceutical, biotech, or broader life sciences clients.
• Hands-on experience scoping, managing, or delivering AI or digital transformation pilots in a client-facing context.
• Strong executive presence with the ability to lead complex conversations with senior stakeholders.
• Excellent project management skills , comfortable managing multiple engagements simultaneously in a fast-moving environment.
• Familiarity with healthcare data, commercial life sciences functions, or real-world evidence.
• Ability to operate with autonomy and adapt quickly in a high-growth, ambiguous environment.

Expectations of AI Use in this role:

• Apply AI strategically, knowing how to use the right tools at the right time to solve problems or generate new ideas.
• Use AI to accelerate feedback loops, test ideas, and make informed decisions faster.
• Apply both judgment and creativity when working with AI and understand its limitations.
• Demonstrate curiosity and initiative in exploring new AI tools and workflows relevant to their role.
• Have developed or shared AI-enhanced workflows, automations, or prompts with others.
• Bring a reflexive AI mindset and use AI as a natural part of their process to iterate, research, and deliver better work.
• Comfortable working in AI-enhanced environments across writing, data analysis, content creation, or design.
• Regularly leverage AI tools such as Notion AI, Perplexity, Claude, Descript, Runway, Midjourney, or Microsoft Copilot to improve speed, clarity, or creative output.

Salary Range: $142,000-$220,000 USD depending on location.

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You'll partner closely with our Life Sciences team, which builds deep scientific partnerships with research institutions and identifies high-impact deployment opportunities. Your focus is on the clinical and operational side of these institutions,translating interest into commercial agreements, driving new pipeline independently, and expanding Claude's footprint across partner organizations.

You'll also collaborate with Account Executives covering affiliated universities to ensure a unified Anthropic presence and identify cross-sell opportunities where academic medical centers and universities share governance or procurement.

Academic medical centers typically don't have large internal development teams, so you'll be selling to buyers who are thinking about integration into clinical systems, EHRs, and operational platforms,not building from scratch.

Note: This role will evolve as we scale. You'll help define the coverage model for academic medical centers as the team grows, and the scope may sharpen over time as we build out dedicated verticals.

Responsibilities:

• Own the full sales cycle for academic medical centers,from prospecting and qualification through negotiation and close

• Build and manage a pipeline of net-new opportunities, targeting clinical leadership, CMIOs, CIOs, and operational executives

• Partner with our Life Sciences team to commercialize relationships and identify expansion opportunities across partner institutions

• Coordinate with Account Executives covering affiliated universities to navigate shared governance and procurement

• Navigate complex procurement processes, including BAAs, compliance reviews, and multi-stakeholder buying committees

• Develop deep expertise in how Claude can support clinical workflows, administrative operations, and care delivery

• Partner with Solutions Architecture to scope technical implementations and integrations

• Represent Anthropic's mission and values in every customer interaction

Primary Use Case Focus:

• Clinical Documentation: Ambient listening, note generation, discharge summaries, clinical decision support

• Operational Efficiency: Prior authorization, revenue cycle optimization, scheduling, patient communication

• Care Coordination: Care management workflows, transitions of care, population health

• Administrative Workflows: HR, finance, compliance, quality reporting

You may be a good fit if you have:

• 5+ years of enterprise sales experience selling into academic medical centers or large health systems

• Direct experience selling enterprise software to medical centers OR major medical equipment/devices

• Demonstrated ability to navigate complex, multi-stakeholder sales cycles with CMIOs, CIOs, and clinical leadership

• Comfort with technical conversations about APIs, integrations, and healthcare data standards (HL7, FHIR)

• Track record of building pipeline from scratch and closing net-new business

• Understanding of healthcare compliance requirements (HIPAA, BAAs, security reviews)

Genuine curiosity about AI and its potential to improve healthcare delivery

Strong candidates may also have:

• Experience selling to both the clinical and IT sides of health systems

• Existing relationships with academic medical center leadership

• Background in clinical operations, health IT, or healthcare consulting

• Experience with EHR integrations and clinical workflow design

• Familiarity with AI/ML applications in healthcare

Compensation & Logistics:

• Competitive base + variable compensation

• Equity participation

• Location: San Francisco preferred; remote (US) considered for exceptional candidates

• Travel: ~25-40% depending on territory

Annual compensation range for this role is $290,000-$435,000 USD

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Our mission is to catalyze healthcare's greatest inventors by maximizing the value of patient insights. We partner with HIEs and other data networks to aggregate patient clinical history and then translate that history into user-friendly information at the point of care.

Responsibilities:

• Collaborate with our team to develop and implement new features and functionality
• Work closely with our engineering team to ensure seamless integration with our platform
• Provide exceptional customer support and resolve any issues that may arise

Benefits:

• Competitive compensation package including cash and equity
• Robust benefits including health insurance, wellness benefits, and 401k with a match
• Unlimited PTO and flexible work arrangements

If you're passionate about disrupting the current healthcare system and want to be part of a dynamic team, we encourage you to apply.

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Reporting to the Head of Customer Success & Delivery, this role will own how customers integrate with the Zus platform. They’ll be responsible for ensuring healthcare organisations and digital health builders can reliably ingest data, connect EHR systems, and deploy applications powered by Zus APIs.

This leader will oversee teams responsible for forward deployment engineering, and technical enablement, working closely with customer engineering teams to integrate Zus into production environments and connect to data networks.

You will guide customers through the complexity of healthcare interoperability, helping them translate real-world workflows into scalable integrations built on Zus.

This is a hands-on player-coach role. You will lead the team while also personally engaging in complex implementations, architecture discussions, and customer deployments.

You will champion the use of AI tools, automation frameworks, and reusable integration patterns to dramatically improve how quickly and reliably customers connect to the Zus platform.

The ideal candidate combines deep experience in healthcare interoperability, enterprise software implementations, API platforms, and AI-enabled engineering workflows with the leadership skills required to scale a delivery organisation.

Key responsibilities:

• Lead implementation and technical delivery - Own the technical delivery lifecycle following contract signature through production deployment and early adoption
• Lead and grow a team of Solutions Engineers and Forward Deployed Engineers - Develop career paths, performance expectations, and development plans for the team to ensure excellent execution of goals
• Ensure consistent, high-quality execution across multiple concurrent enterprise implementations
• Establish best practices for onboarding, implementation, integration, and go-live readiness
• Set customers up for success across multiple different high priority use cases
• Ensure customers achieve rapid time-to-value from the Zus platform

Act as player-coach for complex implementations - Personally engage on strategic or technically complex customer deployments

Guide integrations involving FHIR, HL7, CCD, APIs, SFTP pipelines, and EHR platforms

Troubleshoot complex interoperability and data pipeline issues

Work directly with engineering teams to deploy and operationalize Zus products

Serve as a trusted technical advisor to customer technical and operational stakeholders

Drive forward deployed engineering - Support customers in building production-grade applications and workflows on top of Zus APIs

Help customers operationalize clinical and operational data across care delivery workflows

Lead the development of reference architectures and deployment patterns

Identify integration opportunities that accelerate product adoption and expansion

Delivery training and technical enablement - Oversee technical onboarding and training programs for new customers

Enable customer engineering and product teams to effectively build on the Zus platform

Develop documentation, workshops, and enablement resources for technical users

Drive AI-enabled implementation and automation - Lead the adoption of AI tools and automation frameworks across the delivery organisation

Identify opportunities to automate manual implementation work using LLMs, scripting, and developer tooling

Develop reusable automation patterns for all parts of the Zus ecosystem

Help customers leverage Zus data to power AI-enabled workflows and analytics applications

Partner with Product and Engineering - Translate customer implementation patterns into platform improvement

Participate in technical discussions to find reusable integration patterns that can be embedded directly into the Zus platform

Communicate customer needs to the Product & Engineering teams

You're a good fit because you have:

• 10+ years of experience in technical implementation, solutions engineering, systems integration, or professional services leadership, preferably in healthtech, SaaS, or enterprise software
• Proven experience leading customer-facing teams and scaling implementation or professional services functions
• Deep expertise in healthcare data interoperability, including FHIR, HL7, CCD, and EHR integrations
• Strong understanding of APIs, data ingestion pipelines (ETL, JSON, CSV), and modern data platforms (e.g., Snowflake)
• Experience designing scalable implementation frameworks and reusable integration patterns
• Familiarity with secure environments and compliance frameworks (HIPAA, SOC 2)
• Executive presence and the ability to build trust with both technical and non-technical stakeholders
• Strong strategic thinking paired with a willingness to dive into complex technical or delivery challenges when needed
• A self-starter mindset and comfort operating in a fast-paced, evolving startup environment
• Passion for improving healthcare through better access to and use of data
• Willingness to travel up to ~25% for customer engagements, industry events, and company meetings
• Bachelor’s degree in Business, Engineering, or a related field (advanced degree a plus)

Additional Information:

We will offer you...

• Competitive compensation that reflects the value you bring to the team a combination of cash and equity
• Robust benefits that include health insurance, wellness benefits, 401k with a match, unlimited PTO
• Opportunity to work alongside a passionate team that is determined to help change the world (and have fun doing it)

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As healthcare organisations accelerate their adoption of AI and data-driven approaches to care, the way they evaluate and adopt platforms like Zus is changing. This role sits at the intersection of technical strategy, customer partnership, and market shaping.

You will define how prospects experience Zus - from first technical conversation through product deployment - and ensure every engagement demonstrates clear, measurable value.

Responsibilities

Team Leadership

• Lead, mentor, and grow a team of Sales Engineers, setting clear expectations, coaching on technical depth and customer engagement
• Establish team operating playbooks and a culture of continuous learning across AI, interoperability, and solution design
• Recruit and onboard top-tier technical and commercial talent as the team scales with Zus’s growth

Solution Design & Technical Architecture

• Personally drive solution design and technical architecture for complex, high-impact prospects in a healthcare setting
• Create detailed architectural diagrams (data flow, integration topology, system context) that clearly communicate how Zus fits within a prospect’s technical ecosystem
• Design and validate customer integrations with Zus APIs, healthcare data models, and interoperability standards
• Act as the senior technical escalation point for complex integrations, edge cases, and customer challenges
• Develop and maintain a library of reference architectures, reusable solution patterns, and integration blueprints that accelerate customer delivery
• Design solutions that incorporate AI and machine learning capabilities - including clinical data enrichment, intelligent matching, predictive insights, and workflow automation

Pre-Sales Execution & Technical Storytelling

• Own and execute the technical pre-sales motion, from discovery through proof-of-concept and handoff to post-sale teams
• Deliver and oversee technical demos and executive-level presentations to audiences ranging from engineers to C-suite stakeholders
• Translate sometimes ambiguous customer requirements into crisp, feasible technical proposals with clear success criteria

Cross-Functional Collaboration

• Partner with Product and Engineering to translate customer feedback into product improvements and roadmap input
• Ensure a smooth, well-documented handoff from pre-sales to Customer Success and Implementation
• Collaborate cross-functionally to improve go-to-market strategy, technical enablement, and sales effectiveness
• Balance leadership with execution,jumping in wherever needed to help the team and the company move fast

Requirements

• 6+ years of experience in Sales Engineering, Solutions Architecture, or Technical Implementation, including experience in healthtech or healthcare data platforms
• Prior experience managing or mentoring a small technical team, with a hands-on leadership style
• Strong hands-on experience designing and implementing solutions using RESTful APIs, healthcare interoperability standards (FHIR, C-CDA, HL7), and EMR data
• Proficiency in SQL and comfort working directly with complex healthcare data models
• Demonstrated ability to design end-to-end solutions that balance technical feasibility, customer needs, and business outcomes
• Excellent communication skills and the ability to clearly explain complex concepts to technical and non-technical stakeholders
• A customer-first mindset and a passion for building trusted technical partnerships
• Comfort operating in ambiguity and building structure in an early-stage environment
• Calm, adaptable, and effective when navigating complex or high-pressure situations

Preferred & Differentiating Experience

• Familiarity with AI/ML applications in healthcare including: NLP for clinical data, predictive analytics, intelligent document processing, or LLM-powered workflows
• Experience building or presenting AI-augmented product demos and proof-of-concepts
• Background with cloud-native architectures (AWS, GCP, or Azure), containerization, and modern CI/CD pipelines
• Exposure to value-based care models, population health platforms, or payer-provider data exchange

Benefits

• Competitive compensation that reflects the value you bring to the team a combination of cash and equity
• Robust benefits that include health insurance, wellness benefits, 401k with a match, unlimited PTO
• Opportunity to work alongside a passionate team that is determined to help change the world (and have fun doing it)

How to Apply

• Please note that research shows that candidates from underrepresented backgrounds often don’t apply unless they meet 100% of the job criteria.
• While we have worked to consolidate the minimum qualifications for each role, we aren’t looking for someone who checks each box on a page; we’re looking for active learners and people who care about disrupting the current healthcare system with their unique experiences.
• We do not conduct interviews by text nor will we send you a job offer unless you’ve interviewed with multiple people, including the Director of People & Talent, over video interviews.
• Job scams do exist so please be careful with your personal information.

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Key responsibilities:

Own the technical journey - Lead end-to-end onboarding for new customers,from authentication setup to data mart configuration

Integrate customer systems with Zus (APIs, SFTP, HL7, FHIR,the whole interoperability stack)

Translate messy business requirements into clean technical architectures

Build and maintain automated workflows that make implementations faster and more reliable

Drive customer success through technical excellence - Be the trusted technical advisor customers call when things get complicated

Run technical deep dives and implementation reviews that actually move the needle

Identify integration risks before they become blockers and solve them proactively

Train customers on best practices so they become power users, not support tickets

Innovate on process - Use AI tools (LLMs, automation platforms, scripting) to eliminate manual work and scale your impact

Build templates, scripts, and tooling that make the 10th implementation faster than the 1st

Document learnings and create repeatable playbooks through automation that make the whole team better

Collaborate with R&D - Partner closely with Product and Engineering to surface integration challenges and opportunities for platform improvement

Translate real-world customer integration patterns into product feedback and roadmap insights

Collaborate with R&D teams on emerging capabilities around AI, data pipelines, and developer tooling

Act as the voice of the customer when identifying opportunities to improve developer experience and reduce integration friction

You'll enjoy solving messy integration challenges, building automation that eliminates manual work, and partnering closely with Product and Engineering to continuously improve the platform.

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The engineer joining this team will help build tools that interact with external health data networks to collect information about our patients and load it into the Zus data stores at high volume, as well as services used by customers and internal stakeholders to request that data.

You will work on data pipelines that operate on large scale data using a variety of AWS services (Step Functions, Lambda, DynamoDB, S3, etc). You will also work on RESTful services that are used both internally and externally. Go is our language of choice, although we also have some components written in NodeJS.

The team is responsible for deploying, maintaining, and operating its pipelines and services. Our Zus engineering teams are all US-based, and we hire only in the US.

In Data Acquisition, we work across a collection of US timezones and also collaborate with our development partners in Central European Time.

Zus supports both remote work and hybrid work in the Boston area with an office near South Station, and our teams are a mix of both styles of work.

We actively work to make sure all voices are heard and information is shared regardless of your work location.

You're a good fit because you...

• Are scrappy and you move fast
• Have experience with operationally stable and cost efficient data pipelines
• Enjoy owning your work and seeing it deploy safely in production
• Have experience building backend software in any language (we use mostly Go with a bit of Node)
• Have some experience with at least one of the following: deployment technologies (Github actions, CodeDeploy, CircleCI), cloud providers (AWS, Azure, GCP)), and Infrastructure as Code (Terraform, CloudFormation, Chef)
• Are excited to ~ finally! ~ enable a true digital revolution in healthcare
• Thrive amid the changing landscape of a growing and evolving startup
• Enjoy collaboration and solving unique problems
• Are comfortable working remotely (EST/CST preferred as that is where our team is located) and are willing to travel for in person collaboration occasionally

It would be awesome if you were...

• Experienced in building and running large-scale systems in the cloud
• Experienced in building services and APIs used by third-party developers
• Knowledgeable about application security
• Experienced in working with healthcare data and APIs
• Familiar with the FHIR and/or TEFCA standards

Additional Information

This role can be hybrid in Boston or mostly remote. We’re flexible, because we trust our people to do great work wherever they’re most productive. We’re proudly remote-first, but not strangers by any means. We get together a few times a year to build real rapport, align on strategy, and connect as people.

We believe strong culture is built on trust, transparency, and showing up online or or in person. So yes, work from where you thrive… and plan on the occasional gathering where the strategy is sharp, the conversations are candid, and the snacks are usually excellent.

We will offer you…

• Competitive compensation that reflects the value you bring to the team a combination of cash and equity
• Robust benefits that include health insurance, wellness benefits, 401k with a match, unlimited PTO
• Opportunity to work alongside a passionate team that is determined to help change the world (and have fun doing it)

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About this role:

As the Director of MedEcon, you will be a key leader in the organisation covering claims-based analysis, actuarial science, and medical economics. This is a foundational finance role that requires both strategic vision and hands-on execution. You will be responsible for building out the next generation of actuarial and medical economics capabilities while simultaneously delivering critical analyses that drive our business and clinical strategy.

While your actuarial knowledge is important, your core focus will be combining financial data, claims data, and operational performance data to drive insightful analysis that help push the Waymark care model forward through deep collaboration with analytics.

Reporting to the Chief Revenue Officer (acting CFO), you will lead financial performance measurement and forecasting for value-based contracts. You will be a technical expert who ensures we accurately forecast performance, understand cost trends, identify opportunities for clinical impact, and communicate our value to partners.

This role requires someone who can both develop sophisticated analyses themselves and build the infrastructure to scale these capabilities. You will work at the intersection of finance, partnerships, clinical operations, and analytics,translating complex actuarial and medical economics concepts into actionable insights for both internal stakeholders and external health plan and health system partners. You must be as comfortable building an IBNR model or conducting a cost trend analysis as you are presenting financial projections to a health plan CFO or helping to guide contract negotiations.

Understanding the nuances of Medicaid is essential and an added bonus if you have experience with Medicare Advantage and Dual Eligibles. Healthcare data in these populations can be incomplete and inconsistent, and the regulatory environment is complex and varies by state. Your deep expertise in these markets, combined with your ability to build robust analytical frameworks despite data challenges, will be critical to our success.

Key Responsibilities:

• Own savings forecasts and monthly financial close for all value-based contracts, including shared savings accruals, reserves, and IBNR development • Build and maintain financial models capturing performance drivers under MLR-based and RCT-based contract structures; monitor cost trends and provide early warnings of variances with recommended actions • Serve as the technical authority on total cost of care projections, conducting and reviewing sophisticated analyses, cost trend studies, and actuarial modeling as needed • Lead year-end contract reconciliation with health plan actuaries and provide actuarial/financial guidance during contract negotiations • Develop underwriting frameworks (MLR targets, performance guarantees, risk corridors) and build methodologies to accurately measure organisational performance across contract structures • Perform deep-dive cost trend analyses to identify clinical impact opportunities; generate insights that drive clinical model innovation and support strategic planning across market opportunities and growth scenarios • Serve as the primary technical counterpart to health plan actuaries during data validation, reconciliation, and negotiations • Lead discussions to resolve methodology differences and communicate findings clearly to non-technical stakeholders • Develop compelling value narratives and analytical exhibits that translate complex medical economics findings into actionable recommendations • Build, grow, and lead a best-in-class medical economics and actuarial function • Develop analytical tools, data infrastructure, and reporting frameworks that improve team efficiency and scale capabilities • Dive deep into data quality issues and work cross-functionally to resolve discrepancies; write analytical memos and reports that communicate findings to senior leadership

Minimum Qualifications:

• Advanced degree in a quantitative field (actuarial science, statistics, mathematics, economics, public health, or related) • 10+ years of progressive experience in health actuarial science or medical economics, with at least 3-5 years in a leadership role • Demonstrable expertise in Medicaid, including capitation, risk adjustment, MLR requirements, and regulatory frameworks • Proven track record with value-based care arrangements, shared savings contracts, and risk-bearing models, including contract underwriting, performance forecasting, and financial reconciliation • Expert-level proficiency in actuarial and medical economics methodologies (reserving, pricing, trend analysis, total cost of care modeling); strong SQL, Python, and/or R skills; advanced Excel/financial modeling; and experience with large, complex healthcare datasets • Demonstrated ability to build and lead high-performing analytical teams in growth-stage organisations, with exceptional communication skills across technical and non-technical audiences • Equal parts strategic thinker and hands-on executor , able to build vision and infrastructure while personally conducting sophisticated analyses • Comfortable with ambiguity, fast-moving priorities, and building effective cross-functional partnerships

Preferred Qualifications:

• ASA credential or meaningful progress toward FSA • Deep Medicaid managed care experience, including state program variations, CMS regulations, and actuarial standards of practice (ASOP) • Understanding of care delivery models, clinical quality measures, and the relationship between clinical interventions and medical costs • Experience building analytical functions from the ground up in early-stage or high-growth companies • Genuine commitment to improving care for underserved populations and closing health equity gaps

Salary Range:

US Employees in San Francisco/Bay Area, New York City - $175,000 - $231,000

US Employees in Boston, Los Angeles, Seattle, Washington DC - $161,000 - $212,000

US Employees in Arlington, Denver, San Diego, Sacramento - $154,000 - $203,000

US Employees in Albany, Atlanta, Austin, Baltimore, Central/Southern, Charlotte, Chicago, Dallas/Fort Worth, Detroit, Houston, Las Vegas, Miami, Milwaukee, Philadelphia, Portland, Research Triangle, Salt Lake City, Twin Cities - $140,000 - $185,000

US Employees in Baton Rouge, Birmingham, Charleston, Cincinnati, Cl

XML job scraping automation by YubHub

XML job scraping automation by YubHub

Freenome is seeking a Vice President, Digital Health, to join our rapidly developing Commercial team. As a key member of the team, you will be responsible for defining and designing a cohesive digital platform strategy that enables and scales cutting-edge diagnostic solutions within complex healthcare ecosystems.

In this role, you will bridge the gap between Freenome's cutting-edge science and its practical application in physician offices and health systems, ultimately maximizing patient adherence and test utilization. You will contribute to guiding and refining company-level strategy, and your commitment to innovation and seamless user experience will significantly contribute to our growth and our mission to outpace cancer with early detection.

Responsibilities:

• Digital Health Platform Strategy & Design:

  • Define and drive the long-term vision and design, while informing the architecture for Freenome's digital health platform.
  • Perform Voice of the Customer (VOC), maintain industry and competitor awareness, incorporate innovative/pioneering thinking, and integrate advisory committee feedback to support the long-term vision of rules-based medicine programs.
  • Partner with the product team to inform the design, architecture, and development of critical platform features and functions, commercial and clinical requirements, such as patient identification, education modules, provider engagement tools, EHR integration, and adherence management systems.
  • Define and establish strategic ecosystem partnerships that expand Freenome’s access and distribution footprint.
  • Partner with Product, RWD, and Medical Affairs to ensure Freenome Digital Health (FDH) enables real-world data collection and linkage to support clinical validity, clinical utility, and HEOR evidence generation for future indication expansion and test improvements.
  • Build executive-level relationships with health system leaders, population health teams, and digital transformation groups to drive adoption of FDH across health systems and integrated delivery networks.

• Program Performance & Engagement:

  • Accountable for the achievement of digital health performance goals, ensuring the platform effectively drives utilization, adherence, and customer satisfaction.
  • Commercial Performance Metric and Goal Development: Define, track, and manage key performance indicators (KPIs) and goals for all digital health programs.
  • KOL and Advisory Committee Engagement: Lead KOL and Advisory Committee engagement for program development, design validation, and establishing program credibility with clinical and technical stakeholders.
  • Medical Affairs Partnership: Proactively partner with Medical Affairs to align the digital platform with the publication strategy, ensuring features support evidence design and development needs.
  • Continuous Improvement: Evaluate program effectiveness and work with the Product and technical teams to continuously improve program function and scope.

• Clinical Integrity:

  • Interoperability and Integration: Act as a primary interface with health-system IT leaders, clinical operations, and informatics teams to scope and negotiate integration requirements.
  • Clinical Strategy Representation: Represent Freenome’s clinical strategy in discussions around interoperability, FHIR/HL7 capabilities, ordering modules, clinical decision-support, and results workflows.
  • Customer Education: Create crisp education/messaging on the clinical and economic impact of Freenome tests, and help inform customer decision-making to improve population health initiatives.
  • Clinical Understanding: Demonstrate a keen understanding of how PCPs and specialists evaluate risk, order tests, and interpret results.
  • Ensure clinical messaging and customer-facing workflows align with established medical guidelines and align FDH with health system quality metrics such as HEDIS.

Must haves:

• Bachelor's degree in a technical or relevant field.
• 15+ years of progressive commercial or product leadership experience in diagnostics, pharmaceuticals, or biotech, with significant focus on digital health, health IT, or clinical informatics.
• 10+ years in senior leadership roles, with direct responsibility for launching and scaling digital health platforms for clinical use.
• Demonstrated ability to build executive-level relationships with C-suite leaders and key decision-makers across health systems and provider networks.
• Deep expertise in healthcare data standards (FHIR, HL7), EHR integration, and clinical decision support systems.
• Proven track record of identifying and negotiating strategic partnership opportunities that expand distribution, access, and ecosystem impact.
• Strong entrepreneurial mindset and passion for pioneering new digital solutions in a complex, regulated environment.
• Demonstrated ability to closely collaborate with Product and Engineering to design, build and commercialize digital platforms.
• Ability to craft and clearly convey the company’s story compellingly to diverse audiences.

Nice to haves:

• Advanced degree (MBA, PhD, CGC, MS in Health Informatics, or similar).
• Experience with AI/ML-driven decision support tools and rules-based clinical programs.
• Experience in oncology or preventative screening.
• SF Bay Area residency is a plus but not mandatory.

Benefits and additional information:

The US target range of our base salary for new hires is $293,550 - $383,775. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered. Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education.

Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Applicants have rights under Federal Employment Laws.

Family & Medical Leave Act (FMLA)

Equal Employment Opportunity (EEO)

Employee Polygraph Protection Act (EPPA)

#LI-REMOTE

XML job scraping automation by YubHub

We're hiring our first Security Engineer to own the process of safeguarding our systems, infrastructure, applications, and data. As the first security hire, you will build out our security operations and vulnerability management process for our AI gateway platform. You'll implement programs, run tooling, ship security fixes, and drive remediation across our stack. You’ll be responsible for all aspects of ensuring the security of our platform and users. This isn't a compliance paperwork role; it's a hands-on security position with direct impact on how we protect millions of API requests daily. You'll work closely with engineering and senior leadership to ship security improvements that actually matter.

What You'll Do

• Deploy and operate vulnerability scanning across our cloud infrastructure. Triage findings and drive remediation with engineering teams.

• Lead security assessments for internal and customer security needs (e.g. SOC 2 Type II, ISO 27001, HIPAA audits).

• Maintain vulnerability and remediation documentation for auditors.

• Act as a liaison between product, engineering, compliance, and GTM to guide and prioritize the right security investments.

• Perform penetration tests, tabletop exercises, DR testing, and incident response.

• Manage endpoint security tooling as we scale; conduct audit log reviews and maintain visibility across our stack.

About You

• 3-5+ years in security engineering or operations.

• Deep knowledge of cloud security and expertise in operating in a cloud-hosted environment.

• Comfortable in compliance-heavy environments (SOC 2, ISO 27001, HIPAA).

• Strong experience with SIEM platforms (Splunk, Elastic, Panther) and vulnerability scanners (e.g. Qualys, Tenable, Rapid7).

• AI-forward with hands-on experience adopting, leveraging, and integrating AI tools.

• Startup mindset; you thrive building programs from the ground up and not just inheriting existing playbooks.

• Pragmatic and business-oriented, able to balance security rigor and business speed.

• Ability to communicate risk and technical ideas clearly to both technical and non-technical audiences.

Bonus Points

• Experience with AI/ML infrastructure or inference platforms.

• Automation and scripting with Python.

• Healthcare data handling or BAA compliance experience.

XML job scraping automation by YubHub