Scientist, Data Science (6 month contract)

We have an opportunity available for a contract Data Scientist to work in the field of cells, genomics and related areas.  This role will focus on exploring statistical models, understanding the data and model behaviour to gain deep insights, focussing on biological mechanisms & hypotheses validation. 

Responsibilities

• Generate insights and models from multi-omics datasets (using public and internal data) to understand patterns, trends and relationships within data to inform decision-making and solve problems.
• Works across various domains, in partnership with Computational Biologists / Scientists and AI/ML Scientists offering integrated  insights across disciplines
• Design, develops and programs methods, processes, and systems to extract,  consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights that form a hypothesis. 
• Build databases and is responsible for the curation of Data, including experimental data management. 
• Extracting knowledge, insights and predictions from data using Bayesian statistical methods, machine learning and data visualization to gain insights.
• Can demonstrate and apply depth in their statistical expertise and application & insights shared.
• Work with scientists to identify optimal ways to prepare, annotate, store and navigate their datasets, including data application design and improvement.
• Define and document best practices for capturing and entering experimental metadata, and educate scientists and collaborators about these standards.
• Build pipelines for quality control, processing and analysis of raw targeted and untargeted datasets.
• Develops and codes software programs and leverages algorithms and methodologies being developed by the scientific community for use cases of relevance to Altos Labs.
• Stay current with and adopt emergent analytical methodologies, tools and applications to ensure fit-for-purpose and impactful approaches.
• Partner closely with the Lab scientists and researchers to identify opportunities for data and insight mining to accelerate research.
• Embed analyses and visualizations in automated reports.

• PhD in interdisciplinary quantitative science such as Biology, Chemistry, Computer Science, Physics, etc.
• 2+ years of relevant work experience in either an academic or industry setting.
• Working knowledge of cell biology and experience in large scale data analysis and statistical modeling on datasets like RNA-seq, ATAC-seq, protein network, pathways, etc.
• Proven track record of completed scientific projects as evidenced by publications and preprints.
• Strong breadth and expertise in Statistical analysis, machine learning, data visualization, programming (Python, R, etc.), data cleaning and data manipulation.
• Tools: Python, R, SQL, TensorFlow, Scikit-learn, Tableau, Power BI.
• Ability to generate high quality ideas and be self-driven to explore.
• Strong experience in programming and comfortable modifying existing code-base. Experience with Python, R data cleaning and data manipulation or other related scientific languages.
• Willing to work in a collaborative environment and share periodic updates across the company.

• Strong and demonstrable experience working in an AWS compute environment is a major advantage.
• Experience integrating prior knowledge from public databases (e.g., KEGG) into -omics data analysis pipelines.

The salary range for Redwood City, CA:

• Scientist II, Data Science: $95.00 - $115.00/hour

Exact compensation may vary based on skills, experience, and location.

For UK applicants, before submitting your application:

- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)
- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.