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 I or II to work in the field of cells, genomics and related areas.
Responsibilities
- Generate insights and models from multi-omics datasets.
- Build pipelines for quality control, processing and analysis of raw targeted and untargeted datasets.
- Leverage and extend 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 AreMinimum Qualifications
- PhD in interdisciplinary quantitative science such as Biology, Chemistry, Computer Science, Physics, etc.
- 3-5 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.
- Ability to generate high quality ideas and be self-driven to explore.
- Proficient in programming and comfortable modifying existing code-base. Experience with Python, R or other related scientific languages.
- Willing to work in a collaborative environment and share periodic updates across the company.
Preferred Qualifications
- 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: $192,950 - $261,050
The salary range for San Diego, CA:
- Scientist I, Data Science: $150,450 - $203,550
- Scientist II, Data Science: $177,000 - $254,400
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.
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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.
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/
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