Flagship Ventures
FL101 | Cambridge, MA Principal Data Scientist
Flagship Ventures, Cambridge, Massachusetts, us, 02140
Position Summary
As a
Principal Data Scientist
on our computational team, you will
lead
the transformation of internal and public datasetswith a strong emphasis on single-cell and spatial sequencinginto actionable insights that drive platform development and therapeutic target discovery. You will partner cross-functionally with Platform and Experimental teams to ensure data quality, build predictive and mechanistic models, and inform scientific campaigns across platform technology development and therapeutic programs. The ideal teammate will be highly adaptable, an excellent communicator, and thrive in a collaborative, multidisciplinary environment. You will also
mentor others
and help shape our technical roadmap. Key Responsibilities
Lead
routine and novel analysis of sequencing-based data from FL101s platform. Contribute to
analysis pipelines using best-in-class methods Collaborate
with computational and experimental teams to integrate analytical outputs, prioritizing experiments and follow-up functional assays. Work closely with R&D leadership, experimental scientists, and others to
translate scientific questions into data requirements and modeling strategies ; influence portfolio strategy with clear evidence frameworks. Continue
best practices for code versioning, data provenance, reproducibility, and analysis notebooks; contribute to internal knowledge bases and publications. Support
external partnerships Qualifications
Ph.D. (or equivalent experience) in Computational Biology, Data Science, Statistics, Machine Learning, or related quantitative field. 6+ years post-degree (industry or equivalent), with expertise in single-cell analysis for target discovery. Proficiency in
Python
(pandas, NumPy, scikit-learn; Scanpy)
and R
(Seurat, Bioconductor) for single-cell analysis; SQL for data manipulation. Track record of cross-functional collaboration and
scientific communication
to non-experts. Preferred Qualifications
E
xperience with
spatial transcriptomics
and
perturb-seq/CRISPR screening , including analysis and subsequent experimental design. Experience in
drug discovery
with a focus on
therapeutic target identification/prioritization
and support for functional validation. Experience working in a matrix organizational structure; comfort mentoring and providing technical direction. Demonstrated experience taking single-cell/spatial analyses from raw data to
target nomination
(e.g., marker/driver identification, pathway/ligand-receptor analyses, stratification, and biomarker hypotheses). Strong foundation in experimental design, statistical inference, multivariate analysis, and
integration of orthogonal evidence
(e.g., human genetics, proteomics, imaging). At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background. Recruitment & Staffing Agencies:
Flagship Pioneering and its affiliated Flagship Lab companies (collectively, FSP) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneerings internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto. #J-18808-Ljbffr
As a
Principal Data Scientist
on our computational team, you will
lead
the transformation of internal and public datasetswith a strong emphasis on single-cell and spatial sequencinginto actionable insights that drive platform development and therapeutic target discovery. You will partner cross-functionally with Platform and Experimental teams to ensure data quality, build predictive and mechanistic models, and inform scientific campaigns across platform technology development and therapeutic programs. The ideal teammate will be highly adaptable, an excellent communicator, and thrive in a collaborative, multidisciplinary environment. You will also
mentor others
and help shape our technical roadmap. Key Responsibilities
Lead
routine and novel analysis of sequencing-based data from FL101s platform. Contribute to
analysis pipelines using best-in-class methods Collaborate
with computational and experimental teams to integrate analytical outputs, prioritizing experiments and follow-up functional assays. Work closely with R&D leadership, experimental scientists, and others to
translate scientific questions into data requirements and modeling strategies ; influence portfolio strategy with clear evidence frameworks. Continue
best practices for code versioning, data provenance, reproducibility, and analysis notebooks; contribute to internal knowledge bases and publications. Support
external partnerships Qualifications
Ph.D. (or equivalent experience) in Computational Biology, Data Science, Statistics, Machine Learning, or related quantitative field. 6+ years post-degree (industry or equivalent), with expertise in single-cell analysis for target discovery. Proficiency in
Python
(pandas, NumPy, scikit-learn; Scanpy)
and R
(Seurat, Bioconductor) for single-cell analysis; SQL for data manipulation. Track record of cross-functional collaboration and
scientific communication
to non-experts. Preferred Qualifications
E
xperience with
spatial transcriptomics
and
perturb-seq/CRISPR screening , including analysis and subsequent experimental design. Experience in
drug discovery
with a focus on
therapeutic target identification/prioritization
and support for functional validation. Experience working in a matrix organizational structure; comfort mentoring and providing technical direction. Demonstrated experience taking single-cell/spatial analyses from raw data to
target nomination
(e.g., marker/driver identification, pathway/ligand-receptor analyses, stratification, and biomarker hypotheses). Strong foundation in experimental design, statistical inference, multivariate analysis, and
integration of orthogonal evidence
(e.g., human genetics, proteomics, imaging). At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background. Recruitment & Staffing Agencies:
Flagship Pioneering and its affiliated Flagship Lab companies (collectively, FSP) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneerings internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto. #J-18808-Ljbffr