Senior Scientist, Bioinformatics
Company: HaylieRead Interior Design
Location: Palo Alto
Posted on: June 1, 2025
Job Description:
The Arc Institute is a new scientific institution conducting
curiosity-driven basic science and technology development to
understand and treat complex human diseases. Headquartered in Palo
Alto, California, Arc is an independent research organization
founded on the belief that many important research programs will be
enabled by new institutional models. Arc operates in partnership
with Stanford University, UCSF, and UC Berkeley.While the
prevailing university research model has yielded many tremendous
successes, we believe in the importance of institutional
experimentation as a way to make progress. These include:
- Funding: Arc fully funds Core Investigators' (PIs') research
groups, liberating scientists from the typical constraints of
project-based external grants.
- Technology: Biomedical research has become increasingly
dependent on complex tooling. Arc Technology Centers develop,
optimize and deploy rapidly advancing experimental and
computational technologies in collaboration with Core
Investigators.
- Support: Arc aims to provide first-class support-operationally,
financially and scientifically-that will enable scientists to
pursue long-term high risk, high reward research that can
meaningfully advance progress in disease cures, including
neurodegeneration, cancer, and immune dysfunction.
- Culture: We believe that culture matters enormously in science
and that excellence is difficult to sustain. We aim to create a
culture that is focused on scientific curiosity, a deep commitment
to truth, broad ambition, and selfless collaboration.Arc has scaled
to nearly 200 people. With $650M+ in committed funding and a state
of the art new lab facility in Palo Alto, Arc will continue to grow
quickly in the coming years.About the positionThe Arc Institute is
seeking a Senior Scientist to join the Bioinformatics team within
the Computational Technology Center. The successful candidate will
play a crucial role in advancing the Arc's Virtual Cell Initiative,
which aims to create the foundational model that makes accurate
predictions of cellular states and their responses to
perturbations, and ultimately to help identify rational therapeutic
targets for complex human diseases.About you
- You are passionate about science and excited about answering
biological questions related to complex human diseases.
- You understand the importance of collaboration and thrive when
working with a diverse team of scientists and engineers.
- You are an individual with a deep understanding of
computational genomics, bioinformatics, machine learning,
statistics, next-generation sequencing, and single-cell
multi-omics.
- You are known for your ability to analyze complex datasets and
work effectively in a multidisciplinary team.
- Your organizational skills enable you to manage multiple
concurrent projects, and your curiosity and creativity drive you to
continuous learning and innovation.
- You possess outstanding scientific coding and software
engineering skills.
- You are experienced in project management within
cross-functional teams.In this position, you will
- Lead the efforts to design and implement state-of-the-art
analysis pipelines for various high-throughput projects using best
software engineering practices.
- Manage analysis projects for large-scale sequencing datasets
(single-cell RNA-seq, epigenomics, multi-omics, Perturb-seq,
spatial transcriptomics).
- Develop novel machine learning algorithms to get biological
insights from the multifaceted genomic datasets.
- Lead computational side in the cross-functional teams tasked
with developing novel genomic technologies.
- Mentor junior scientists in developing computational methods
and utilizing bioinformatics tools and pipelines.Requirements
- Ph.D. in Bioinformatics, Computational Biology, Computer
Science, or related quantitative field, with 5+ years of
industry/academia experience.
- Hands-on experience analyzing high-throughput sequencing
datasets, especially on single-cell omics data (bulk and
single-cell RNA-seq and ATAC-seq, Perturb-seq, etc.).
- High competency with Python, git/GitHub, and Linux.
- Demonstrated ability to collaborate with wet-lab
scientists.
- Strong statistical, mathematical, and analytical
skills.Preferred Skills
- Experience analyzing spatial transcriptomics, optical pooled
screens, cell painting, and other imaging technologies.
- Familiarity with CRISPR screens technology and analyses.
- Scientific background in neuroscience or cancer biology.
- Experience with Nextflow pipelines.
- Familiarity with cloud computing.The base salary range for this
position is $132,250 to $183,250. These amounts reflect the range
of base salary that the Institute reasonably would expect to pay a
new hire or internal candidate for this position. The actual base
compensation paid to any individual for this position may vary
depending on factors such as experience, market conditions,
education/training, skill level, and whether the compensation is
internally equitable, and does not include bonuses, commissions,
differential pay, other forms of compensation, or benefits. This
position is also eligible to receive an annual discretionary bonus,
with the amount dependent on individual and institute performance
factors.Apply for this jobFirst Name *Last Name *Email *Phone
*Resume/CV *LinkedIn ProfileGitHubAre you currently authorized to
work in the US? * Select...Will you now, or in the future, require
employer visa sponsorship (e.g., H-1B)? * Select...
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Keywords: HaylieRead Interior Design, Santa Rosa , Senior Scientist, Bioinformatics, Other , Palo Alto, California
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