Scientist, Data Science (6 month contract) at Altos Labs

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

29 Dec, 25

Salary

115.0

Posted On

30 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Statistical Analysis, Machine Learning, Data Visualization, Programming, Data Cleaning, Data Manipulation, Bayesian Statistical Methods, Big Data, Omics Data Analysis, Experimental Data Management, Python, R, SQL, TensorFlow, Scikit-learn

Industry

Biotechnology Research

Description

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 contract Data Scientist to work in the field of cells, genomics and related areas. This role will focus on exploring statistical models, understanding the data and model behaviour to gain deep insights, focussing on biological mechanisms & hypotheses validation. 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. Works across various domains, in partnership with Computational Biologists / Scientists and AI/ML Scientists offering integrated insights across disciplines Design, develops and programs methods, processes, and systems to extract, consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights that form a hypothesis. Build databases and is responsible for the curation of Data, including experimental data management. Extracting knowledge, insights and predictions from data using Bayesian statistical methods, machine learning and data visualization to gain insights. Can demonstrate and apply depth in their statistical expertise and application & insights shared. 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 untargeted 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. 2+ 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, 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 Redwood City, CA: Scientist II, Data Science: $95.00 - $115.00/hour Exact compensation may vary based on skills, experience, and location. For UK applicants, before submitting your application: - Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice) - This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment. Equal Opportunity Employment We value collaboration and scientific excellence. We believe that diverse perspectives and a culture of belonging are foundational to scientific innovation and inquiry. At Altos Labs, 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 an inclusive environment. Altos Labs provides equal employment opportunities to all employees and applicants for employment, 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. Altos prohibits unlawful discrimination and harassment. 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. Thank you for your interest in Altos Labs where we strive for a culture of scientific excellence, learning, and belonging. Note: Altos Labs will not ask you to download a messaging app for an interview or outlay your own money to get started as an employee. If this sounds like your interaction with people claiming to be with Altos, it is not legitimate and has nothing to do with Altos. Learn more about a common job scam at https://www.linkedin.com/pulse/how-spot-avoid-online-job-scams-biron-clark/

Responsibilities

The Data Scientist will generate insights and models from multi-omics datasets to understand patterns and inform decision-making. They will work across various domains with scientists to extract and analyze unstructured data, building databases and pipelines for data management.