Key Skills
Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming
Job Description
The Bay Area Institute of Science at Altos Labs has an opening for a Computational Scientist in our MultiOmics Data Analysis group. Responsibilities include:
- Collaborate closely with domain knowledge experts to plan and design studies to elucidate molecular phenotypes of cellular health, rejuvenation and reprogramming.
- Develop NGS analysis pipelines covering raw data processing, through to exploratory and statistical data analysis, to hypothesis generation.
- Develop new and apply existing methods for multi-omic data integration.
- Perform integrative analyses of omics and diverse phenotypic data.
- Present and interpret analysis results to inform future experiments and to guide decision making.
- Embed analyses and visualizations in automated reports.
- Build interactive dashboards for data visualization and exploration.
- Partner with other computational scientists to establish automated, robust and efficient analytical pipelines for reproducible research.
- Stay current with and adopt emergent analytical methodologies, tools and applications to ensure fit-for-purpose and impactful approaches.
Who You Are
Minimum Qualifications:
- PhD in a quantitative field (e.g. mathematics, bioinformatics, physics) with significant biological background OR a Life Sciences degree with significant computational experience.
- Advanced understanding of NGS platforms and the underlying technological limitations.
- Extensive experience with building NGS data analysis pipelines (RNA-seq, Ribo-seq, ATAC-seq, BS-seq, Perturb-seq).
- Extensive knowledge of standard tools for analysis of NGS data ( e.g. FastQC, BWA, BEDtools, STAR, TopHat, Cufflinks, Limma, edgeR, DESeq).
- Proficiency in Python and/or R. Hands-on skills using data science packages ( for instance, Pandas, Scikit-learn, NumPy, Tidyverse, Caret).
- Statistical analysis background (e.g. parametric and non-parametric tests for differential expression analysis, enrichment analysis, clustering, dimensionality reduction techniques, power analysis).
- Excellent communication skills. Ability to present complex computational methods to non-experts.
- Established ability to translate biologists/project team’s scientific questions into analytical strategies and methods.
- Strong collaboration skills and ability to work as part of a team in an international and interdisciplinary environment.
- Outstanding organizational skills and the ability to work independently.
Preferred Qualifications:
- Experience with technologies required to undertake analyses on large data sources or with computationally intensive steps (databases, parallelization, Hadoop, Spark, etc.).
- Experience with code management and collaboration platforms (e.g. GitHub, Bitbucket).
- Experience with development of visualization reports and apps (e.g. Shiny/Dash/ d3).
- Experience with applying machine learning to mine biological datasets for actionable hypotheses.
- Experience with software development.
- Experience with cloud computing.
Company Info.
Altos Labs, Inc.
Altos Labs is a new biotechnology company focused on cellular rejuvenation programming to restore cell health and resilience, with the goal of reversing disease to transform medicine.
Altos Labs aims to foster scientific creativity, providing research labs with both resources and freedom needed to pursue fundamental scientific challenges, including the ability of individual labs to publish and present their work for wider scientific community.
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Industry
Biotechnology Research
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No. of Employees
50
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Location
Los Altos, CA, USA
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Website
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Jobs Posted
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Altos Labs, Inc. is currently hiring Computational Scientist Jobs in San Francisco, CA, USA with average base salary of $120,000 - $190,000 / Year.