Associate Director, High-Throughput Biology and Automation
About The Position
The Associate Director, High-Throughput Biology and Automation leads a critical Oncology function at the intersection of biology, biochemistry, automation, and data science. The role defines the strategic roadmap, aligns capabilities with portfolio priorities, translates complex portfolio questions into scalable experimental and data-enabled solutions, and shapes future platform and infrastructure needs. The position leads a multidisciplinary team to deliver robust, decision-enabling science that advances Oncology medicines. The role oversees high-throughput biology, biochemistry, profiling, automation, and data strategies, ensuring that platforms and workflows meet evolving portfolio needs and produce high-quality, integrated, actionable datasets. It also leads cross-functional alignment and develops a team of engineers, cell biologists, and automation scientists. The position is onsite in Cambridge, Massachusetts; relocation support is not available.
Requirements
- PhD in a relevant scientific or technical field, or a master’s degree with substantial relevant industry experience.
- At least 10 years of experience in biotech, biopharma, pharmaceutical research, or a related scientific environment.
- Track record defining high-throughput biology, automation, and platform strategy.
- Deep expertise in profiling, assay development, miniaturization, optimization, validation, and decision-enabling data generation.
- Experience with biochemical, cellular, phenotypic, functional, mechanistic, imaging, and sequencing-based readouts.
- Strong experience designing, implementing, and scaling laboratory automation and automated workflows.
- Strong data expertise across experimental design, quality control, analysis, data standards, metadata, laboratory data systems, and informatics partnerships.
- Demonstrated people leadership, Oncology drug discovery expertise, and success working across cross-functional and external partner environments.
Nice To Haves
- Experience with in vivo-supporting workflows, single-cell technologies, multimodal omics, or cloud-based data platforms.
Responsibilities
- Define and execute Oncology’s high-throughput biology, biochemistry, and automation strategy, translating portfolio questions into fit-for-purpose experimental, automation, and data solutions.
- Lead a team responsible for designing, executing, and delivering high-throughput profiling workflows that generate robust, decision-enabling data for the Oncology portfolio.
- Shape and scale profiling platforms spanning biochemical, cellular, phenotypic, mechanistic, imaging, and multimodal readouts.
- Lead automation strategy across liquid handling, robotics, automated cell culture and banking, workflow miniaturization, platform integration, and device lifecycle planning.
- Define future capability needs across assays, technologies, and infrastructure to guide platform evolution and strategic investment decisions.
- Define and implement data strategies to ensure high-throughput biology datasets are high-quality, well-annotated, FAIR, integrated, and actionable for portfolio decisions.
- Lead cross-functional alignment with internal and external stakeholders to integrate high-throughput biology capabilities with Oncology portfolio strategy.
- Lead, develop, and empower a multidisciplinary team of engineers, cell biologists, and automation scientists, fostering scientific excellence, accountability, inclusion, and continuous improvement.
Benefits
- Performance-based cash incentive.
- Eligibility to be considered for annual equity awards, depending on the level of the role.
- Comprehensive benefits package including health, life, and disability benefits.
- 401(k) with company contribution and match.
- Vacation, personal days, holidays, and other leaves.
- Access to cutting-edge technologies and collaboration with scientific, automation, data, and translational experts.
- Professional growth opportunities.
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What This Job Offers
Job Type
Full-time
Career Level
Director
Education Level
Ph.D. or professional degree
