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.

WHO YOU ARE

We are looking for a strong team player who will be working on a range of projects across the scientific questions central to the Altos mission. Working in a highly collaborative environment, the ideal candidate will be able to quickly understand the biological background of a project, apply their bioinformatics and analytical skills and be able to communicate results clearly and concisely. We are looking for an individual who can not only respond to requests but will also show initiative, take forward a project independently and show ownership of the work done. They should also demonstrate a strong willingness to learn and develop.
The successful candidate will have strong expertise with various NGS workflows and data types such as RNA-seq, ATAC-seq, ChIP-seq, Perturb-seq, etc., be familiar with single cell technologies and have previous experience with integration of different data types.

MINIMUM QUALIFICATIONS

• PhD in a quantitative field (e.g. computational biology, mathematics, physics) with significant biological background OR a PhD in the life sciences with significant computational experience
• Extensive knowledge of NGS data analysis
• Proficiency in Python and/or R. Hands-on skills using data science packages (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

PREFERRED QUALIFICATIONS

• Knowledge of single-cell sequencing technologies and analytical techniques
• Experience with variant calling methodologies
• Experience with spatial transcriptomics
• Experience with Nextflow
• Experience with long read sequencing (Nanopore, PacBio)
• Experience with cloud providers (e.g. AWS)
• Comfortable working in command line/Linux environments
• Background in cellular rejuvenation and reprogramming
• Familiarity with publicly available single cell data resources

The salary range for Cambridge, UK:

• Scientist I, Computational Biology: £52,700 - £74,400
• Scientist II, Computational Biology: £62,000 - £90,000

Exact compensation may vary based on skills, experience, and location.

Before submitting your application:

• Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/euukprivacy_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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WHAT WE WANT YOU TO KNOW

We are a culture of collaboration and scientific excellence, 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 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

• Collaborate closely with domain knowledge experts to plan and design studies to elucidate molecular phenotypes of cellular health, rejuvenation and reprogramming
• Process internal and external NGS sequencing data according to Altos’ standards
• Independently analyze internal and external NGS sequencing data
• Integrate different Omics data types using state-of-the-art statistical models
• Analyze single-cell data covering the entire workflow from raw data to read/counts, data normalization and transformation, dimensionality reduction, cluster analysis, differential expression, trajectory analysis, enrichment analysis
• Embed analyses and visualizations in automated and bespoke reports
• 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