This includes human target validation plans at the time of target selection, strategies for target engagement and delivering evidence for proof-of-mechanism (PoM) in early clinical trials and deepening our understanding of the mechanism of action and patient selection during clinical development. The Translational Science Lead is a project-facing role, collaborating closely with biosciences during preclinical development to support human target validation packages, and leading biomarker data exploration in non-interventional cohorts and via back-translated clinical trials.

As the program moves into the clinic, the TSL contributes significantly to clinical development including but not limited to application of target engagement assays, developing and executing an appropriate biomarker sampling strategy, and enabling the evaluation of key novel biomarkers by facilitating assay transfer and execution in the clinical trial setting.

Accountabilities and responsibilities:

• Develop and integrate translational science strategies for R&I projects and clinical studies, including accountability for human target validation, target engagement and precision medicine.

• Build mechanistic understanding of the target and disease through designing and leading innovative application of experimental methods and technologies.

• Establish the translational evidence package for new targets utilizing public and proprietary biobanks to better understand responding sub-populations, biomarkers and the biology of our drug targets.

• Integrate and interpret clinical, biomarker, and multi-omics data to generate mechanistic and translational insights that enhance patient outcomes.

• Partnering with data science to enable AI/ML strategies to discover mechanisms, biomarkers and patient phenotypes.

• Identifying and enabling PoM biomarkers to demonstrate target engagement at First-Time-In-Human clinical trials.

• Delivering precision medicine strategies to identify the patients most likely to benefit from our medicines, including early molecular biomarker assay development planning if common clinical features are not sufficient for precision medicine.

• Represent TSECD’s translational strategy through investment decisions and governance interactions and facilitate cross-functional communication to enable accurate execution.

• Integrate translational strategy into key clinical documents.

• Clinical Study Protocols, Informed Consent Forms, Sample Life Cycle Plans, Case Report Forms, local Health Authority applications, Human Genetic Resources, Clinical Study Reports.

• Contribute to regulatory and health authority responses, author Submission document sections relating to Mode of Action, PK/PD, precision medicine.

• Prepare and review scientific publications to support publication and marketing strategies.

Minimum Requirements – Education and Experience:

• PhD or MD equivalent with a strong experimental drive and background in relevant scientific field

• Post-doc experience or otherwise relevant scientific research experience

• Minimum 5 years of experience in a Biomedical or Pharmaceutical role

• Experience in an academic and/or industry setting

• Strong publication record

Desirable Skills/Experience:

• 8+ years of experience in a Scientific role within the Biomedical or Pharmaceutical Industry

• Experience leading projects

• Experience from clinical trials

• Proven ability to deliver translational readouts and human target validation and their application to drug discovery.

• Excellent understanding of the Respiratory therapy area including but not limited to COPD, Asthma, NCFBE and IPF/ILDs, and disease biology, including related molecular pathways and mechanisms.

• Experience and knowledge of the biological basis for target engagement biomarkers and familiar with PoM biomarker invention and implementation.

• Experience and knowledge of the biological basis for patient stratification and precision medicine, and familiar with patient selection biomarker invention and implementation.

• Broad understanding of relevant technologies and methodologies along with excellent scientific skills and ability to design experiments to address key scientific questions.

• Excellent skills in hypothesis forming and testing and able to draw conclusions and suggest next steps based on the experimental data.

• Shown experience and solid understanding of pharmacology, translational medicine and clinical sciences as well as clinical development with pre-eminence in at least one of these areas.

• Demonstrated leadership skills, ability to be a self-starter.

• Strong team working skills with a proven track record of working collaboratively to ensure scientific excellence and robust delivery to projects.

• Excellent written, oral, presentation and interpersonal skills.

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As one of the organisation's "go-to" leaders for antibody-drug conjugates, you will be translating cutting-edge science into impactful therapeutic opportunities in the field of oncology, cardiovascular research or immunology.

The ideal candidate will have a proven track record in leading projects and in developing antibody conjugates with small molecules, oligonucleotides or peptides as the payload.

Key responsibilities include:

• Providing innovative solutions for antibody conjugates to address unmet needs and design differentiated drugs
• Leading antibody generation and optimization for developing new potent innovative leads fulfilling their target product profile
• Supporting molecule design and optimization with fit-for-purpose conjugation techniques for antibodies, antibody formats, small molecule payloads, oligonucleotides and peptides
• Providing state-of-the-art techniques to the lead generation and optimization process, including lead discovery, antibody design, analytics, conjugation chemistry, separation techniques, and developability assessment

The successful candidate will have a PhD in chemistry, biochemistry, immunology, biotechnology or related field, and long-term experience in Antibody (BMOL) drug discovery with deep knowledge of literature and industry practices.

This role offers a competitive salary between $169,680.00 - $254,520.00, additional compensation may include a bonus or commission, and a range of benefits including health care, vision, dental, retirement, PTO, sick leave, etc.

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About AstraZeneca

At AstraZeneca, we're not afraid to do things differently. We're building a new kind of organization to reset expectations of what a bio-pharmaceutical company can be. This means we're opening up innovative ways of working, pioneering groundbreaking methods, and bringing cross-functional teams together.

Early Oncology is focused on attacking cancer from multiple angles through innovative modalities, realizing the potential of combinations, and building treatment regimens with depth, durability, and precision. This senior leadership position – within the Oncology Targeted Discovery Department – will be accountable for the generation of bioscience data packages to support candidate drug selection and clinical positioning of assets, including prioritization of cross-portfolio combinations.

We are seeking a dynamic and experienced leader to lead the drug discovery efforts in small molecule portfolios in Oncology R&D. In this role, you will report to VP, Small Molecule Bioscience and lead a bioscience department based in Kendall Square.

Key accountabilities include:

• Providing strategic leadership and direction for the Bioscience function and partnering with the Oncology Targeted Discovery senior leadership team in the vision and execution of the small molecule bioscience strategy.

• Evolving the capabilities and fostering a collaborative and high-performing culture, ensuring resources are used appropriately to satisfy current and anticipated needs of the organization, and that the function drives performance and delivers business value.

• Driving portfolio prioritization, staying abreast of the latest external developments and innovations, and being able to identify future strategic opportunities.

• Collaborating cross-functionally with colleagues across the discovery, translational, and clinical organizations.

Education, Qualifications, Skills, and Experience

• PhD in Biological science discipline

• Minimum of 10 years' experience in biotechnology or pharmaceutical industry with deep drug discovery experience and ability to manage cross-functional stakeholders

• Proven track record of delivering portfolio success in both pre-clinical and clinical phase

• Experience of driving innovation and delivering strategic/operational change across the business

• Oversight of in vivo pharmacology with awareness of local regulations

• Proven leadership experience promoting, motivating, and empowering others to accomplish individual, team, and organizational objectives

• Effective interpersonal and relationship management skills with consultative approach and ability to interact and build trust

• Strong leadership and communication skills – ability to convey scientifically complex data and concepts in a simple, straightforward manner

• Ability to influence strategically and persuade tactfully, to obtain desired outcomes while maintaining effective, positive organizational relationships

• Expert reputation within the business and externally across the industry

Why AstraZeneca?

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace, and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility.

Join us on our journey of building a new kind of organization to reset expectations of what a bio-pharmaceutical company can be. This means we're opening new ways to work, groundbreaking pioneering methods, and bringing unexpected teams together.

Interested? Come and join our journey!

So, what's next? If you are passionate about the possibilities, don't hesitate in submitting an application today!

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You'll work directly with flagship research partners like Howard Hughes Medical Institute and The Allen Institute, embedded in their scientific workflows. This isn't consulting from the outside , you'll be building alongside their engineers, prototyping agents that fit into real research pipelines, and developing the ecosystem-level tooling (MCP servers, benchmarks, reusable agent skills) that extends Claude's usefulness across the broader life sciences community.

Responsibilities:

Partner deeply with flagship life sciences research institutions , understand their scientific workflows end-to-end, build hands-on with their engineering teams, and help take projects from early exploration to production systems integrated into how they do science day-to-day.

Develop reusable ecosystem infrastructure, like MCP servers for domain-specific data sources (genomics platforms, literature databases, experimental repositories), instruments, scientifically-grounded benchmarks, and agent skills that other institutions can adopt without starting from scratch.

Identify what's actually hard about deploying AI in life sciences (heterogeneous data, auditability requirements, the prototype-to-trust gap) and feed those findings back to product, engineering, and research.

Create technical content and documentation that lets partners self-serve, so what works for one institution can scale globally without the same level of hand-holding.

You might be a good fit if you have:

4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder , with production experience shipping systems that real users depend on.

Deep research experience in life sciences, biomedical research, or scientific computing. Bonus if you've studied genomics, neuroscience, or drug discovery specifically and are comfortable getting deeply technical with academics.

Experience building LLM-powered tools or applications: prompting, context engineering, agent architectures, evaluation frameworks.

Builder credibility from shipping production code as a software engineer, forward-deployed engineer, or technical founder.

A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission.

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As a Biology Specialist at xAI, you will be instrumental in enhancing our cutting-edge AI technologies by providing high-quality input and labels using specialized software.

You will collaborate closely with our technical team to support the training of new AI tasks, contributing to innovative initiatives. Your responsibilities include refining annotation tools and selecting complex problems from advanced biological fields to drive significant improvements in model performance.

This involves gathering or providing data in text, voice, and video formats, including annotations, audio recordings, or video sessions,tasks with which you must be comfortable and eager to engage.

Responsibilities

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Solve problems that help drive innovation in life sciences by guiding AI models to enhance research in specialized areas, improving outcomes in scientific discovery and application.
• Choose problems from fields across biology, biotechnology and life sciences that align with your expertise in specialized subdomains such as genomic analysis, evolutionary biology, or drug discovery, where you can confidently provide detailed solutions and evaluate model responses.
• Regularly interpret, analyze, and execute tasks based on given instructions.

Qualifications

• Master’s or PhD in a biology-related field.
• Expertise in one or more of the following: Genetics, Genomics, Developmental Biology, Systems Biology, Physiology and Anatomy, Evolution, Microbiology, Plant Biology, Zoology and Animal Biology, Marine Biology and Oceanography, Epidemiology, Biostatistics, Public Health, Pharmacology, Toxicology and Drug Discovery.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources, databases, and online resources is essential.
• Outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.
• Strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience

• Advanced expertise in biology, demonstrated by multiple publications, including at least one first-author paper, in reputable peer-reviewed journals
• Previous AI Tutoring experience.
• Teaching experience (as a professor, teacher, or tutor).
• Experience in technical writing, journalism, or a professional writing setting.

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We're looking for an Applied AI Engineer to join our Beneficial Deployments team, focused on maximising the impact of Claude in the life sciences. Our goal is ambitious: accelerate scientific progress from R&D through translation by an order of magnitude.

You'll work directly with flagship research partners like Howard Hughes Medical Institute and The Allen Institute, embedded in their scientific workflows. This isn't consulting from the outside — you'll be building alongside their engineers, prototyping agents that fit into real research pipelines, and developing the ecosystem-level tooling (MCP servers, benchmarks, reusable agent skills) that extends Claude's usefulness across the broader life sciences community.

Responsibilities:

• Partner deeply with flagship life sciences research institutions — understand their scientific workflows end-to-end, build hands-on with their engineering teams, and help take projects from early exploration to production systems integrated into how they do science day-to-day.
• Develop reusable ecosystem infrastructure, like MCP servers for domain-specific data sources (genomics platforms, literature databases, experimental repositories), instruments, scientifically-grounded benchmarks, and agent skills that other institutions can adopt without starting from scratch.
• Identify what's actually hard about deploying AI in life sciences (heterogeneous data, auditability requirements, the prototype-to-trust gap) and feed those findings back to product, engineering, and research.
• Create technical content and documentation that lets partners self-serve, so what works for one institution can scale globally without the same level of hand-holding.

You Might Be a Good Fit If You Have:

• 4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder — with production experience shipping systems that real users depend on.
• Deep research experience in life sciences, biomedical research, or scientific computing. Bonus if you've studied genomics, neuroscience, or drug discovery specifically and are comfortable getting deeply technical with academics.
• Experience building LLM-powered tools or applications: prompting, context engineering, agent architectures, evaluation frameworks.
• Builder credibility from shipping production code as a software engineer, forward-deployed engineer, or technical founder.
• A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission.

Logistics:

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

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