Scientist / Senior Scientist, Computational Biology

Who You Are You are an intellectually curious scientist excited and inspired by the Altos mission of restoring cell health and resilience to reverse diseases, injury and age- related disabilities. You are keen to explore the biology of aging to develop approaches to understand and potentially reverse its effects. You possess strong analytical skills, a passion for computational biology, and a collaborative spirit with the ability to work within and contribute to Project Teams and within a matrix structure. The ideal candidate is: Self-motivated to drive and deliver on projects and goals Excited to work in a fast-paced, multidisciplinary environment. Focused on professional growth and expanding their skillset and knowledge Able to communicate and explain the design, results, conclusions and the impact of their work to both scientific and nonscientific staff. Able to stay up-to-date on the latest developments in their field and apply knowledge to their work. Minimum

Qualifications PhD in Life Science or Computational Biology: Level will depend on experience: Scientist II (3- 5 years experience post PhD) Senior Scientist I (6 years experience post PhD) Proven experience analyzing and integrating high-throughput omics datasets using computational and statistical approaches. Proficiency in programming (e.g., Python, R) and experience working with standard bioinformatics tools and data repositories. Strong foundation in statistical analysis, machine learning, or probabilistic modeling. Ability to translate complex scientific questions into computational strategies and analytical frameworks. Demonstrated ability to work independently and collaboratively in an interdisciplinary research environment. Strong communication and problem-solving skills, with the ability to present computational analyses to both expert and non-expert audiences. Track record of scientific publications in peer-reviewed journals. Preferred

Qualifications Background in cellular aging, rejuvenation, cellular plasticity, and/or reprogramming biology. Experience in single-cell or spatial omics, epigenomics, long-read sequencing, proteomics, and/or Ribo-seq technologies. Familiarity with methods for multi-omics data integration. Familiarity with machine learning, deep learning, or generative modeling approaches applied to biological data. Experience developing reproducible workflows using tools such as Nextflow and cloud computing environments (e.g., AWS). Previous wet-lab experience is considered a plus. Hiring Ranges: Scientist II (3- 5 years experience post PhD) £62, 400- £82,100 Senior Scientist I (6 years experience post PhD) £79,200- £104,200 Equal Opportunity Employment We value collaboration and scientific excellence. We believe that 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/

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