Data Scientist II / Senior Data Scientist, Life Sciences
Lila Sciences · Cambridge, MA USA
Posted 14 days ago
or apply directly on Lila Sciences's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 14 days Lila Sciences's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 0% of Lila Sciences's roles list one
- Ghost-job risk at Lila Sciences
- high 89 stale, 2 reposted of 118 open
- Hiring momentum
- 155 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Lila Sciences's own greenhouse board since 2026-08-03. Full hiring picture for Lila Sciences.
About this role
As a Data Scientist II/Senior Data Scientist at Lila Sciences, you will bridge the gap between wet-lab science and AI by transforming experimental data into actionable insights. Your responsibilities include developing bioinformatics pipelines, documenting methods, and collaborating with cross-functional teams to ensure data integrity and reproducibility in life sciences programs.
- benefits
- 4/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Lila Sciences as an employer.
What you need
- Strong background in biological sciences, life sciences data, or bioinformatics
- Strong Python proficiency for scientific data analysis, including pandas, numpy, and scipy
- Solid grounding in applied statistics and exploratory data analysis
- Experience eliciting, documenting, and validating requirements from scientific and technical stakeholders
- Ability to identify unstated assumptions and clarify ambiguous analytical requests
- Experience producing reproducible, well-documented analyses
Nice to have
- Experience working with lab automation platforms or instrument data systems
- Familiarity with common bioinformatics tools
- Experience with workflow orchestrators such as Flyte or Temporal
- Knowledge of modern Python developer tools such as pydantic, pyright, or uv
- Familiarity with AWS fundamentals and containerized workflows, including Docker or Kubernetes
What you get
- Competitive base compensation with bonus potential and generous early-stage equity
- Comprehensive benefits program including medical, dental, and vision coverage
- Employer-paid life and disability insurance
- Flexible time off with generous company-wide holidays
- Paid parental leave
- Educational assistance program
Worth weighing
- No specific information on the tech stack used beyond Python and bioinformatics tools
- The role involves significant collaboration with various teams, which may require strong interpersonal skills
- The job description emphasizes a proactive approach to ambiguous problems, indicating a potentially high-pressure environment
Summarised from Lila Sciences's posting. Read the full original.
Listed by Lila Sciences on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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