Research Scientist, Analytical Development

Key Responsibilities

• Develop, optimize, troubleshoot, and apply omics- and sequencing-based analytical methods, including but not limited to bulk and single-cell RNA-seq, ATAC-seq, and ChIP-seq.
• Develop workflows for deep transcriptomic and epigenomic characterization of PSC banks, including evaluation of cell-state heterogeneity, lineage priming, chromatin accessibility, and gene-regulatory programs.
• Design and execute experiments to characterize method performance, including data quality, reproducibility, precision, robustness, sample-input requirements, and fit-for-purpose acceptance criteria.
• Translate sequencing-derived biomarker findings into targeted assays, including RT-qPCR, ChIP-qPCR, or other practical methods suitable for in-process control, comparability, or release-supporting applications.
• Analyze and interpret bulk, single-cell, and multiomic sequencing datasets in partnership with computational biology and analytical-development colleagues.
• Perform transcriptomic analyses, including sample and cell quality control, filtering, normalization, dataset integration, dimension reduction, clustering, cell-type or cell-state annotation, and differential-expression analysis.
• Apply trajectory reconstruction and fate-probability approaches to assess PSC state transitions, differentiation trajectories, and cell-state heterogeneity.
• Perform epigenomic analyses, including accessible-loci compilation, differential chromatin-accessibility analysis, principal-component analysis, chromatin-to-gene linkage analysis, and transcription factor or nucleosome foot printing.
• Apply programming skills in R, Python, and shell scripting to support data analysis, workflow automation, and visualization.
• Use high-performance computing environments and foundational cloud-computing concepts to execute, manage, and scale sequencing-data workflows.
• Designs and conducts complex analytical experiments with consistency employing appropriate controls.
• Applies regulatory guidance in the development and qualification of analytical methods.
• Understands and performs complex analytical procedures to understand and describe assay performance.
• Exercises solid judgment to prioritize studies, considering feasibility, timelines and project impact.
• Independently prepares study presentations and presents experimental conclusions at internal Team meetings.
• Works collaboratively cross-functionally and within the team to achieve program goals.

Knowledge and Skills

• Designs and executes complex, challenging experiments.
• Demonstrates knowledge of relevant biological systems and the ability to develop methods understanding the constraints and limitations of the therapeutic area and manufacturing capabilities.
• Demonstrates understanding of relevant regulatory guidance.
• Demonstrates technical expertise in a range of platforms.
• Understands the components of assay qualification, transfer and validation.
• Able to multi-task to move multiple projects forward in parallel.
• Skilled in writing method documents and analytical development protocols and reports.
• Demonstrated abilities in analysis methods to describe method performance including knowledge of routine statistical analysis.

Requirements & Tech Stack

• Ph.D. (or equivalent degree)
• Experience with PSC culture, maintenance, characterization, and passaging across multiple passages.
• Experience with single-cell transcriptomic or epigenomic analysis, including cell QC, filtering, integration, clustering, annotation, differential expression, trajectory analysis, or fate-probability estimation.
• Experience with epigenomic data analysis, including differential chromatin accessibility, accessible-region analysis, chromatin-gene linkage, transcription factor motif analysis, or footprinting.
• Experience developing and managing reproducible bioinformatics pipelines, including containerization with Singularity or equivalent tools and local program installation/configuration.
• Familiarity with high-performance computing environments, including institutional or enterprise research-computing platforms, and foundational AWS concepts.
• Experience with automated cell annotation or representation-learning tools, such as CellTypist, scVI, scGPT, or related methods.
• Experience translating discovery-stage multiomic biomarkers into targeted RT-qPCR, ChIP-qPCR, or other scalable analytical assays.
• Experience designing and/or performing assay qualification, including authoring and/or reviewing relevant documentation.
• Programming skills in R, Python, and shell scripting.

Compensation & Benefits

• Pay Range: $102,800 - $154,200
• Eligible for an annual bonus and annual equity awards.
• Some roles may also be eligible for overtime pay.
• Market-leading benefits to meet employees' career, financial, family, and wellbeing journey.
• Inclusive benefits include medical, dental, and vision benefits.
• Generous paid time off (including a week-long company shutdown in the Summer and the Winter).
• Educational assistance programs including student loan repayment.
• Generous commuting subsidy.
• Matching charitable donations.
• 401(k).

Work Location

• On-Site Designated Flex
• Work five days per week on-site with ad hoc flexibility.