Scientist, Data Science

• What You Will Contribute To Altos

  We have an opportunity available for a Data Scientist to work in the field of cells, genomics and related areas. 

  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.
  • Design, develops and programs methods, processes, and systems to extract,  consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights.
  • Build databases and is responsible for the curation of Data, including experimental data management. 
  • Extracting knowledge, insights and predictions from data using statistical methods, machine learning and data visualization.
  • 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 un-targeted 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.
  Who You AreMinimum Qualifications
  • PhD in interdisciplinary quantitative science such as Biology, Chemistry, Computer Science, Physics, etc.
  • 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.
  Preferred Qualifications
  • 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 Cambridge, UK:

• Scientist I, Data Science: £64,600 - £87,400
• Scientist II, Data Science: £76,000 - £105,600
• Senior Scientist I, Data Science: £88,000 - £132,000

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

Before submitting your application:

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- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.