(Senior) Biological Data Scientist
Algen Biotechnologies, San Francisco, California
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The role
- We are seeking an outstanding biological data scientist to accelerate Algen’s internal R&D efforts. The ideal candidate will be an independent and creative thinker with a proven track record for solving complex, data-driven, biological problems with statistical rigor. This is an exciting opportunity to work on research programs that leverage single-cell sequencing, high-throughput screening, and deep molecular phenotyping to accelerate the development of cutting-edge treatment paradigms for indications with high unmet need in the clinic.
What you will do
- Analyze large, biological datasets to produce novel, statistically grounded insights
- Build and optimize models for classification of complex, high-dimensional data
- Work with other data team members to develop efficient and automated workflows for processing and analyzing biological datasets
- Execute novel R&D projects at the interface of biotechnology and machine learning
- Document and disseminate findings to executives, biologists, and Algen stakeholders via written documents, professional visualizations, and presentations
What you need
- PhD in computer science, bioinformatics, applied mathematics, statistics, biophysics, or a related quantitative discipline
- Excellent programming skills in Python and R
- Experience developing modular software for robust, generalizable, and reproducible data analysis
- Knowledge of GitHub and cloud-based workflows (e.g., Google Cloud, AWS, or Azure)
- 3+ years experience, including postdoctoral work, with statistical analysis in Python and/or R
- Strong foundation in statistics and machine learning as demonstrated by publications, presentations, or previous work experience
- Knowledge and experience working with genomic data
- Knowledge of methods for processing and analyzing sparse, high-dimensional data
- Strong cross-functional communication and presentation skills
- Strong desire to learn and adapt quickly to new challenges
- Ability to manage ambiguity and to seek out necessary information to make informed decisions
- Ability to work collaboratively on interdisciplinary projects
Nice to have
- Experience working with single-cell RNAseq and/or high-throughput screening data
- Knowledgeable about modern deep learning methods
- Experience building big-data workflows with Apache-Spark/Scala
- Experience working in early-stage startup environments
Pay and benefits
- Competitive package including benefits and paid time off
- Fast-paced collaborative culture that encourages creativity and independence
- Opportunity to work closely with executive team to co-create and grow an exciting biotechnology company
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