To restore cell health and resilience through cellular rejuvenation programming to reverse disease, injury, and the disabilities that can occur throughout life.
For more information, see our website at altoslabs.com.
Diversity at Altos
We believe that diverse perspectives are foundational to scientific innovation and inquiry.
We are building a company where exceptional scientists and industry leaders from around the world work side by side to advance a shared mission.
Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives.
At Altos, we are all accountable for sustaining a diverse and inclusive environment.
What You Will Contribute to Altos
The Bioinformatics Innovation Hub is a team of computational scientists working across the three institutes of science at San Diego, San Francisco and Cambridge. As a member of the Bioinformatics team based in the SDI Institute of Science, you will lead the development and application of advanced analytics methods to unravel the molecular mechanisms underlying cellular health and reprogramming. In this role, you will work with diverse types of omics data including bulk/scRNA-Seq, bulk/scATAC-Seq, ChIP-seq, PacBio and nanopore sequencing, and MS-based proteomic and metabolomic data.
The ideal candidate will enjoy working on a wide range of interesting problems, be involved in all aspects of a research project and develop robust computational tools and pipelines for data processing and analysis. The successful candidate will demonstrate rigorous scientific thinking, strong work ethic and the ability to work equally well in a team or independently. They will work closely with a cross-disciplinary team including domain knowledge experts, data generation experts and other computational scientists.
Collaborate closely with domain knowledge experts to plan and design studies to elucidate molecular phenotypes of cellular health, rejuvenation and reprogramming
Perform end-to-end analysis of omics data covering the entire workflow from raw data to read/counts/expression, data normalization and transformation, and statistical and bioinformatic analyses
Develop workflows for omics data integration using state-of-the-art statistical and bioinformatic methods
Embed analyses and visualizations in automated reports and communicate results with stakeholders
Build interactive dashboards for data visualization and exploration
Partner with other computational scientists to establish automated, robust and efficient analytical pipelines for reproducible research
Stay current with and adopt emergent analytical methodologies, tools and applications to ensure fit-for-purpose and impactful approaches
Who You Are
PhD in a quantitative field (e.g. computational biology, mathematics, physics) with significant biological background OR a Life Science degree with significant computational experience
Extensive knowledge of and experience with NGS and MS analysis tools and methods
Proficiency in Python and/or R. Hands-on skills using data science packages ( for instance, Pandas, Scikit-learn, NumPy, Tidyverse, Caret).
Statistical analysis background
Excellent communication skills. Ability to present complex computational methods to non-experts
Established ability to translate biologists/project team’s scientific questions into analytical strategies and methods
Strong collaboration skills and ability to work as part of a team in an international and interdisciplinary environment
Outstanding organizational skills and the ability to work independently
Experience with omics data integration computational methods
Experience with long read sequencing (Nanopore, PacBio)
Experience with spatial transcriptomics
Experience with Mass Spectrometry data analysis
Salary range: Scientist I, $127,500 - $172,500; Scientist II, $150,000 - $228,800; Senior Scientist, $176,000 - $288,000. Exact compensation may vary based on skills, experience, and location.
Job ID 558
What We Want You To Know
We are a culture of collaboration and scientific freedom, and we believe in the values of diversity, 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 freedom, 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/