About the role

Sana Biotechnology is growing, and we are hiring new team members who believe in the potential of engineered cells as medicines, who are passionate about delivering the possible to patients, and who lead with the desire to work on novel ideas. As a Principal Bioinformatician, you will report to the Senior Genomics Lead, and work under the broader direction of the Head of Stem Cell Sciences. You will work towards the common goal of quality control for cell therapy products using genomics and epigenomics. This position will routinely design experiments and analyze data of the following assays: whole genome sequencing, amplicon-sequencing, CUT&TAG, CUT&RUN. Daily responsibilities include data management, experimental design, optimization and maintenance of computational workflows, incorporation of new methodologies, and providing interpretable results to aid in hythothesis generation.

What you’ll do

Partner with the beta islet group to design studies, answer biological questions and analyze cell differentiation data.
Derive insights from transcriptomic and other omics datasets, including scRNA-seq, bulk RNA-seq, and snRNA-seq that enable therapeutic development
Communicate to a broad audience with a range of technical, analytical, and biological expertise and present results at group meetings
Collaborate with Computational Biology and Computational Engineering groups to provide reproducible, tested, and robust analyses

What we’re looking for

- D. in computational biology, genetics, bioinformatics, statistics, or related discipline with 5+ years of industry or relevant academic experience, or M.Sc. with 10+ years or equivalent combination of education/work experience
- Domain experience in stem cell differentiation and engraftment experiments, especially islet beta cells or other endocrine cell lineages
- Knowledge of mammalian cell differentiation and methods to assess purity and stability of iPSC generated cell lines
- Proficiency in Python and R, Unix/Linux, and HPC systems; familiarity with testing frameworks for assuring code correctness
- Strong scientific background including an understanding of molecular biology, cell biology, and genomics resources

What will separate you from the crowd

Expertise in generating testable hypotheses from large omics datasets
Demonstrated skill in existing single-cell analysis tools such as Seurat, Scanpy, Slingshot, or Monocle for trajectory inference and cell cycle regression
Knowledge of workflow languages (Nextflow, CWL) and demonstrated ability to transition analyses into modules/library code for general use in pipelines

What you should know

The base pay range for this position at commencement of employment is expected to be between $175,000 and $205,000/year; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience

How we work together for patients

Lead from every seat – we seek to understand, act with honesty, and engage in the crucial conversations
Thrive as a team – we hire amazing people, are intensely curious, and cultivate inclusion and personal connectivity
Make it happen – we value vigorous debate, alignment around our decisions, and resilient execution

Get to know us

At Sana, we believe that a diverse workforce strengthens us as a company and helps us to achieve our mission to meaningfully change the outcome of many human diseases. This belief is a pillar of our business and is critical to our success. Our goal is that Sana is the place for talented people to bring their authentic selves to work, to have a great career and to deeply, positively impact patients.

Core to our values, we believe there is nothing more important than the health and wellness of you and your family. For benefit eligible employees, we cover 100% of the cost for employee health coverage and offer generous time-off (various paid time off benefits, such as holidays, vacation, sick time, and parental leave), short- and long-term disability, employer paid basic life insurance, additional voluntary life insurance protection, financial wellness programs including financial planning resources, a 401(k) Plan with an immediately vested employer match, Tuition Reimbursement and Student Loan Repayment, Employee Stock Purchase Plan, commuter subsidy and a variety of wellness offerings to support each person individually. For more details on our benefits, visit Sana’sBenefits Portal.

We are committed to providing a workplace free of discrimination and harassment based on race, color, religion, age, gender, national origin, ancestry, physical or mental or sensory disability (including the use of a trained guide dog or service animal by a person with a disability), genetic information, actual or perceived HIV or Hepatitis C infection, medical condition (cancer or a record or history of cancer and genetic characteristics), marital status, sexual orientation, sexual preference, pregnancy (including childbirth and related medical conditions), disability, veteran status, political ideology, social class (including caste/caste identity), taking or requesting statutorily protected leave, status as a victim of domestic violence, sexual assault or stalking, or any other basis prohibited by applicable law.

To perform this job successfully, you must be able to perform each job responsibility satisfactorily. The job description listed above is representative of the knowledge, skills, and/or abilities required for this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions described above.

Principal Scientist

Computational Biology, Islet Biology

Sana Biotechnology

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