Mission
DataScientist
“Data Scientist at Mission. Skills: single-cell RNA-seq data analysis, statistical methods, machine learning, AI methods, Python, R, bioinformatics, computational biology. Lead bioinformatic and data science efforts focused on single‑cell RNA‑seq (scRNA‑seq) data, including experimental design support, data processing, quality control, and downstream analysis. Apply advanced statistical, machine learning, and AI methods to single‑cell transcriptomic data to identify cell states, trajectories, bio”
What You'll Achieve.
identify cell states, trajectories, biomarkers, and mechanistic insights relevant to clinical outcomes; support translational and clinical decision‑making; characterize T‑cell clonality, diversity, and clonal dynamics in clinical cell therapy studies; link T‑cell receptor repertoire features with transcriptional states, phenotypes, and clinical outcomes; translate single‑cell analytics into actionable insights for ongoing clinical programs
Industry & Context.
Apply advanced statistical, machine learning, and AI methods; Analyze and interpret single‑cell TCR sequencing (scTCR‑seq) data; Integrate scRNA‑seq and scTCR‑seq data; Develop analytical models
What They're Looking For.
Must Have
5+ years of relevant experience with a BSA, or 3+ years with an MS/MA, or 1+ year with a PhD in data science, computational biology, bioengineering, or a related field, with relevant post-graduate experience, Deep hands-on experience with single-cell RNA-seq data analysis, including normalization, batch correction, clustering, annotation, trajectory inference, and differential expression, background in NGS workflows, with emphasis on single-cell experimental platforms and data characteristics, Proficiency with single-cell immune repertoire sequencing concepts, including clonotype definition, diversity metrics, and longitudinal clonal tracking, Proficiency in Python and R, including development of reproducible analytical pipelines, workflows, and visualizations, Experience working with cloud computing platforms and/or high-performance computing clusters, Solid understanding of statistical methods and their application to single-cell and biomedical data
Nice to Have
Experience in immunology, immune-oncology, or cell therapy research is a plus
What You'll Do.
Lead bioinformatic and data science efforts focused on single‑cell RNA‑seq (scRNA‑seq) data
including experimental design support
and downstream analysis
Apply advanced statistical
and AI methods to single‑cell transcriptomic data to identify cell states
and mechanistic insights relevant to clinical outcomes
Integrate scRNA‑seq data with complementary data types (e. g.
clinical metadata) to support translational and clinical decision‑making
Analyze and interpret single‑cell TCR sequencing (scTCR‑seq) data to characterize T‑cell clonality
and clonal dynamics in clinical cell therapy studies
Integrate scRNA‑seq and scTCR‑seq data to link T‑cell receptor repertoire features with transcriptional states
and clinical outcomes
Design and implement custom analytical tools and models tailored to cell therapy and immunology research questions
Contribute to the development of analytical models for clinical NGS and single‑cell data in regulated environments
Establish and maintain reproducible
scalable data architectures using cloud platforms and/or high‑performance computing resources
Build and manage code repositories
and best practices for single‑cell data analysis
Stay current with emerging single‑cell technologies
and proactively incorporate them to improve analytical approaches
How You'll Work.
Team & Collaboration
Collaborate closely with biologists, clinicians, and cross‑functional teams to translate single‑cell analytics into actionable insights for ongoing clinical programs; work in a fast‑paced, collaborative environment
Communication Scope
communication skills, with the ability to explain complex analytical concepts to non‑experts; Communicate complex analytical methods and findings through clear reports, visualizations, presentations, and collaborative discussions
Applying for this Data Scientist role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about Mission?
Real rants from real employees. Read before you apply.