Scientist, Data Science

Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission.

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.

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

• 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, develop and program 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.
• Extract 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.
• Develop and code software programs and leverage 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.

• 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.

• 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.

We are a culture of collaboration and scientific excellence, and we believe in the values of inclusion and belonging to inspire innovation. Altos Labs provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Altos currently requires all employees to be fully vaccinated against COVID-19, subject to legally required exemptions (e.g., due to a medical condition or sincerely-held religious belief).

Thank you for your interest in Altos Labs where we strive for a culture of scientific excellence, learning, and belonging.