Scientist, Data Science

Position Overview

At Altos, our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and disabilities. We believe that diverse perspectives are essential to scientific innovation and inquiry. We have an opportunity available for a Data Scientist to work in the field of cells, genomics, and related areas.

Key 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, develop, and program methods, processes, and systems to extract, consolidate, and analyze unstructured, diverse “big data” sources to generate actionable insights.
• Build databases and curate 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 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.
• Develop and code software programs and leverage emerging algorithms and methodologies for use cases relevant to Altos Labs.
• Stay current with and adopt emergent analytical methodologies, tools, and applications to ensure impactful and fit-for-purpose approaches.
• Partner closely with lab scientists and researchers to identify opportunities for data and insight mining to accelerate research.
• Embed analyses and visualizations in automated reports.

Required Qualifications

• PhD in interdisciplinary quantitative science such as Biology, Chemistry, Computer Science, Physics, etc.
• 1 - 5 years (Scientist I/II) or 5+ years (Senior Scientist) of relevant work experience in 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 networks, pathways, etc.
• Proven track record of completed scientific projects as evidenced by publications and preprints.
• Expertise in statistical analysis, machine learning, data visualization, programming (Python, R, etc.), data cleaning, and data manipulation.
• Proficiency with tools such as Python, R, SQL, Tensor Flow, Scikit-learn, Tableau, and Power BI.
• Ability to generate high-quality ideas and the drive to explore innovative approaches.
• Strong programming skills with the capability to modify existing codebases.
• Willingness 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.

Benefits & Perks

• Compensation for San Francisco Bay Area, CA: Scientist I, Data Science: $165,750 - $224,250; Scientist II, Data Science: $195,000 - $263,350; Senior Scientist I, Data Science: $229,000 - $313,950.
• Compensation for San Diego, CA: Scientist I, Data Science: $150,450 - $203,550; Scientist II, Data Science: $177,000 - $243,800; Senior Scientist I, Data Science: $212,000 - $292,100.
• Note: Exact compensation may vary based on skills, experience, and location.