Scientist, Data Science

Our Mission

Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life.

For more information, see our website at altoslabs.com.
Our Value

Our Single Altos Value:

Everyone Owns Achieving Our Inspiring Mission .
Diversity at Altos

We believe that diverse perspectives are foundational to scientific innovation and inquiry. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment.

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 Are
Minimum 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.
  
  What We Want You To Know
  
  We are a culture of collaboration and scientific excellence, and we believe in the values of inclusion and belonging to inspire innovation.
  
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