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 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

• PhD in interdisciplinary quantitative science such as Biology, Chemistry, Computer Science, Physics, etc.
• 1 - 5 years (Scientist I/II) or 5+ years (Senior Scientist) 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, Tensor Flow, 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 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
  
  The salary range 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
  
  Exact compensation may vary based on skills, experience, and location.
  
  ## What We Want You To Know
  We are a…