Key Responsibilities:

• Build and evaluate models that predict how coding and non-coding variants affect protein function, stability, interactions, and pathway activity.
• Use variant-effect predictions to interpret somatic selection signals.
• Design, build, and evaluate AI agents and agentic workflows that retrieve evidence, run analyses, and support hypothesis testing and target assessment.
• Train, fine-tune, or adapt foundation models, language models, and representation-learning methods for target discovery.
• Use AI coding tools to speed up development while keeping code readable, tested, and reproducible.
• Work as a core member of cross-functional project teams, share ownership of team goals, and contribute to shared codebases, reviews, and tools.
• Communicate results clearly to scientists and target discovery leadership.

Qualifications:

• PhD in machine learning, computer science, computational biology, genomics, bioinformatics, statistics, engineering, or a related field, or an MSc with equivalent experience.
• Strong Python skills and experience building practical deep learning systems.
• Experience training, evaluating, or applying ML models to complex real-world biological data.
• Understanding of how genetic variants affect protein structure and function, and experience with variant-effect prediction methods.
• Regular use of AI coding assistants, LLM-based workflows, or agentic development tools in your own work.
• Depth in one or more of the following: biomedical foundation models, AI agents, Perturb-seq or single-cell genomics, genotype–phenotype modelling, causal inference, perturbation modelling, or large-scale biological datasets.
• Proven ability to work in cross-functional teams and to explain technical results to non-specialists.

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Working within the Data Infrastructure team, you will lead complex initiatives spanning AWS platform engineering, scientific data systems and AI/ML workloads. You will collaborate closely with cloud engineers, data engineers, bioinformaticians, AI scientists, computational biologists, and experimental scientists to turn evolving scientific needs into secure, reliable and scalable engineering solutions.

This is a senior individual-contributor role with substantial technical autonomy. You will make cross-system architecture and operational trade-offs, establish reusable engineering patterns, and mentor our Cloud Engineers and Data Engineers through design reviews, delivery and troubleshooting.

Responsibilities:

• Lead the architecture and evolution of our AWS-based infrastructure across cloud services, scientific data platforms and AI/ML workloads, balancing delivery speed, reliability, security and cost.
• Design and implement reusable infrastructure-as-code, CI/CD and environment-management patterns that make production systems easier to build, test, deploy and operate.
• Own cross-cutting engineering decisions for observability, identity and access management, networking, resilience, capacity, data movement and lifecycle management.
• Partner with Cloud Engineers and Data Engineers to deliver integrated solutions, providing practical mentoring through technical design, code review, incident response and operational improvement.
• Work with AI scientists, computational biologists and scientific teams to translate model development, training, evaluation, inference and data requirements into secure, reproducible platform capabilities.
• Diagnose and resolve complex failures spanning infrastructure, data pipelines, applications and AI workloads; lead incident reviews and ensure corrective actions improve the wider system.
• Establish and reinforce engineering standards for testing, documentation, release management, operational readiness, security and cost visibility across the Data Infrastructure team.
• Evaluate new technologies and shape the infrastructure roadmap with the Head of Data Infrastructure, making pragmatic build-versus-buy and sequencing decisions for an early-stage biotech.

Qualifications:

• Substantial experience designing, building and operating production cloud or data infrastructure, typically gained through seven or more years of relevant work or equivalent demonstrated capability.
• Advanced hands-on experience with AWS and ownership of multiple interdependent production systems, including the ability to troubleshoot failures across service boundaries.
• Strong experience with infrastructure-as-code, CI/CD, containerised workloads, cloud networking, identity and access management, and production observability.
• Strong software engineering skills in Python and Linux, including automated testing, version control, code review and maintainable automation or platform tooling.
• Experience supporting data-intensive life-science systems or workflows, with enough domain understanding to reason about large scientific datasets, reproducibility, provenance and scientific user needs.
• Experience enabling AI/ML workloads in cloud environments, such as data preparation, model training, evaluation, inference, orchestration or production deployment.
• A track record of leading complex technical initiatives under ambiguity, making explicit trade-offs and remaining accountable for reliable operational outcomes.
• Demonstrated ability to mentor engineers and communicate architecture, risk and delivery choices clearly to both technical and scientific stakeholders.

Values and Behaviors:

• Encourage respectful disagreement and cultivate open-minded, ego-free interactions to continuously push each other towards excellence.
• Seek out diverse perspectives; practice active listening and genuine curiosity to ensure all contributions are valued, regardless of source.
• Recognize the impact of your behavior, language and attitudes, and strive for balanced, meaningful exchanges that enhance mutual growth and understanding in all interactions.
• Use a company-first mindset to guide decision-making; prioritize team over individual success.
• Take calculated risks and challenge convention in the quest for exceptional outcomes.

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The ideal candidate combines strong scientific and commercial judgment with demonstrated transaction leadership and the ability to operate effectively in an early-stage, fast-paced, resource-constrained environment.

Responsibilities:

• Develop and execute a comprehensive business development strategy aligned with the company's scientific, clinical, and corporate objectives
• Identify, evaluate, and cultivate relationships with potential pharmaceutical, biotechnology, academic, and other strategic partners
• Lead commercial partnership opportunities from initial identification and diligence through valuation, negotiation, deal structuring, and execution
• Develop compelling partnership materials, including opportunity assessments, strategic rationales, valuation analyses, and executive presentations
• Build and maintain a strong network across the biotechnology and pharmaceutical industries
• Identify opportunities for co-development, licensing, collaborations, research partnerships, and other strategic transactions
• Support corporate strategy and financing activities by providing external market and competitive intelligence
• Lead identification and evaluation of external assets and technologies that could complement or expand the company's internal pipeline
• Establish systematic processes for sourcing and prioritizing in-licensing opportunities
• Coordinate cross-functional diligence with scientific, clinical, regulatory, IP, legal, and finance teams
• Develop business cases and recommendations for investment in external programs
• Lead negotiations around licensing economics, development responsibilities, milestones, royalties, territories, governance, and other key deal terms
• Maintain a forward-looking view of emerging technologies, mechanisms, therapeutic approaches, and platform opportunities relevant to the company's strategy

Qualifications:

• Advanced degree in life sciences, medicine, business, or a related field; MBA or equivalent business training is a plus
• 10+ years of relevant experience in biotechnology or pharmaceutical business development, corporate strategy, licensing, or a related function
• Demonstrated experience executing or materially contributing to biopharma partnership and licensing transactions
• Strong understanding of drug development and the biotechnology/pharmaceutical industry
• Experience evaluating external therapeutic assets and conducting cross-functional diligence
• Demonstrated ability to perform or oversee market, competitive, and commercial analyses for drug development programs
• Strong financial and analytical capabilities, including familiarity with asset valuation, deal economics, forecasting, and scenario analysis
• Excellent negotiation, communication, and presentation skills
• Strong scientific and strategic judgment, with the ability to rapidly assess complex information and make clear recommendations
• Ability to build trusted relationships with senior executives and external partners across the biopharma ecosystem
• Entrepreneurial mindset and willingness to work hands-on in an early-stage environment

XML job scraping automation by YubHub

The ideal candidate combines strong scientific and commercial judgment with demonstrated transaction leadership and the ability to operate effectively in an early-stage, fast-paced, resource-constrained environment.

Responsibilities:

• Develop and execute a comprehensive business development strategy aligned with the company's scientific, clinical, and corporate objectives
• Identify, evaluate, and cultivate relationships with potential pharmaceutical, biotechnology, academic, and other strategic partners
• Lead commercial partnership opportunities from initial identification and diligence through valuation, negotiation, deal structuring, and execution
• Develop compelling partnership materials, including opportunity assessments, strategic rationales, valuation analyses, and executive presentations
• Build and maintain a strong network across the biotechnology and pharmaceutical industries
• Identify opportunities for co-development, licensing, collaborations, research partnerships, and other strategic transactions
• Support corporate strategy and financing activities by providing external market and competitive intelligence
• Lead identification and evaluation of external assets and technologies that could complement or expand the company's internal pipeline
• Establish systematic processes for sourcing and prioritizing in-licensing opportunities
• Coordinate cross-functional diligence with scientific, clinical, regulatory, IP, legal, and finance teams
• Develop business cases and recommendations for investment in external programs
• Lead negotiations around licensing economics, development responsibilities, milestones, royalties, territories, governance, and other key deal terms
• Maintain a forward-looking view of emerging technologies, mechanisms, therapeutic approaches, and platform opportunities relevant to the company's strategy

Qualifications:

• Advanced degree in life sciences, medicine, business, or a related field; MBA or equivalent business training is a plus
• 10+ years of relevant experience in biotechnology or pharmaceutical business development, corporate strategy, licensing, or a related function
• Demonstrated experience executing or materially contributing to biopharma partnership and licensing transactions
• Strong understanding of drug development and the biotechnology/pharmaceutical industry
• Experience evaluating external therapeutic assets and conducting cross-functional diligence
• Demonstrated ability to perform or oversee market, competitive, and commercial analyses for drug development programs
• Strong financial and analytical capabilities, including familiarity with asset valuation, deal economics, forecasting, and scenario analysis
• Excellent negotiation, communication, and presentation skills
• Strong scientific and strategic judgment, with the ability to rapidly assess complex information and make clear recommendations
• Ability to build trusted relationships with senior executives and external partners across the biopharma ecosystem
• Entrepreneurial mindset and willingness to work hands-on in an early-stage environment

Values and Behaviors:

• Encourage respectful disagreement and cultivate open-minded, ego-free interactions to continuously push each other towards excellence
• Seek out diverse perspectives; practice active listening and genuine curiosity to ensure all contributions are valued, regardless of source
• Recognize the impact of your behavior, language and attitudes, and strive for balanced, meaningful exchanges that enhance mutual growth and understanding in all interactions
• Use a company-first mindset to guide decision-making; prioritize team over individual success
• Take calculated risks and challenge convention in the quest for exceptional outcomes

The salary range for this role is $217,000 - $275,000.

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The successful candidate will combine strong analytical skills and familiarity with scientific and clinical data with commercial curiosity, to turn networks of complex data into meaningful insights.

Responsibilities:

• Build a deep understanding of addressable markets, industry landscape, customer needs, and forecast future states and opportunities for growth in sectors of interest
• Carry out market sizing, competitive analysis using epidemiology, clinical, and commercial data sets, and validate through research with external experts
• Partner with clinical, drug development, and external experts/customers to further validate specific market segments and develop target product profiles (TPPs)
• Partner with Finance, Business development, and Drug Development teams to develop asset and disease area valuation models and support BD and finance discussions with valuation and commercial forecast models as required
• Design and improve data models, analytical frameworks, and output formats, that support assessments, presentation to stakeholders, and internal decision-making
• Develop dashboards, reporting, and analysis tools to communicate outputs and disease area strategy
• Prototype, test, and help deploy AI-enabled tools, agents, and other analytical resources to support all the above analyses

Qualifications:

• Bachelor's degree in health sciences discipline or a related field
• 3+ years of experience working in or with pharmaceutical or biotech companies in product planning or commercial strategy teams
• Experience in at least one of these disease segments: Cardiovascular, renal, metabolic, oncology, autoimmune diseases
• Familiarity with drug development strategy and regulatory pathways
• Experience with a range of healthcare or life-sciences databases and market research tools
• Exposure to valuation, business development, licensing, or investment analysis
• Strong analytical and research skills
• Familiarity with and ability to synthesize scientific, medical, and economic data
• Strong business acumen and problem-solving capabilities
• Strong written and verbal communication skills
• Ability to work independently yet collaboratively, manage multiple projects, and meet deadlines

The salary range for this role is $112,000 - $154,550.

XML job scraping automation by YubHub

The successful candidate will combine strong analytical skills and familiarity with scientific and clinical data with commercial curiosity, to turn networks of complex data into meaningful insights.

Responsibilities:

• Build a deep understanding of addressable markets, industry landscape, customer needs, and forecast future states and opportunities for growth in sectors of interest
• Carry out market sizing, competitive analysis using epidemiology, clinical, and commercial data sets, and validate through research with external experts
• Partner with clinical, drug development, and external experts/customers to further validate specific market segments and develop target product profiles (TPPs)
• Partner with Finance, Business development, and Drug Development teams to develop asset and disease area valuation models and support BD and finance discussions with valuation and commercial forecast models as required
• Design and improve data models, analytical frameworks, and output formats, that support assessments, presentation to stakeholders, and internal decision-making
• Develop dashboards, reporting, and analysis tools to communicate outputs and disease area strategy
• Prototype, test, and help deploy AI-enabled tools, agents, and other analytical resources to support all the above analyses

Qualifications:

• Bachelor's degree in health sciences discipline or a related field
• 3+ years of experience working in or with pharmaceutical or biotech companies in product planning or commercial strategy teams
• Experience in at least one of these disease segments: Cardiovascular, renal, metabolic, oncology, autoimmune diseases
• Familiarity with drug development strategy and regulatory pathways
• Experience with a range of healthcare or life-sciences databases and market research tools
• Exposure to valuation, business development, licensing, or investment analysis
• Strong analytical and research skills
• Familiarity with and ability to synthesize scientific, medical, and economic data
• Strong business acumen and problem-solving capabilities
• Strong written and verbal communication skills
• Ability to work independently yet collaboratively, manage multiple projects, and meet deadlines

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