Scientist, Functional Genomics, Konermann Lab
Company: Arc Institute
Location: Palo Alto
Posted on: April 2, 2026
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Job Description:
About Arc Institute Arc Institute is an independent nonprofit
research organization at the interface of artificial intelligence
and biology, working to accelerate scientific progress and
understand the root causes of complex diseases. Founded in 2021 and
based in Palo Alto, Arc partners with Stanford University, UC
Berkeley, and UC San Francisco. Unlike academia, our scientists
have long-term funding and industry-like resources. Unlike
industry, they're free to pursue high-risk, long-term research
without commercial pressures. Arc's Technology Centers and Core
Investigator labs work side by side, integrating experimental and
computational biology under one roof to tackle problems neither
could solve alone. Our two Institute Initiatives reflect this model
in action: Virtual Cell Initiative : Building a full-stack virtual
cell model to identify disease mechanisms and nominate drug
targets, accelerating the path from biological insight to clinical
trials. Alzheimer's Disease Initiative : Mapping the genes,
pathways, and environmental factors behind Alzheimer's disease to
develop drug candidates that address root causes. More than 300
Arconauts work together at our Palo Alto headquarters, backed by
substantial long-term philanthropic funding. About the position The
Konermann Lab is seeking an exceptional Scientist to lead and
collaborate on projects at the intersection of functional genomics
and neurobiology. In this role, you will serve as experimental
domain expert and apply state-of-the-art cell engineering, CRISPR
screening and Perturb-seq technologies to advanced cellular model
systems to decipher fundamental biological processes in neurons,
microglia and other relevant cell types, provide molecular insights
into the role of genetic risk factors in the progression of
neurodegenerative diseases (with a focus on Alzheimer’s disease) as
well as identify potential genetic modifiers to ameliorate disease
progression. This position offers a unique chance for a highly
motivated and curious researcher to collaborate with an
interdisciplinary team of neuroscientists, computational biologists
and in vivo scientists to connect novel molecular insights to
potential translational applications. About you You are passionate
about biological discovery and applying advanced molecular
technologies to studying complex diseases and fundamental
biological processes in challenging cell models. You thrive in a
collaborative, multidisciplinary environment and enjoy working with
both wet lab and computational scientists. You are a technologist
at heart. You get excited about the potential of new tools (e.g.
single-cell genomics, optical screening, multi-modal readouts) to
answer questions that were previously impossible to ask. You are
resilient. You understand that high-reward science involves risk.
You approach troubleshooting with a critical mind and view
obstacles as puzzles to be solved. You have a track record of
independent experimental design, execution, troubleshooting and
data analysis as well as successful completion of high-impact
research projects as evidenced by your publications. In this
position, you will Collaborate with neurobiologists to implement
functional genomics assays (arrayed and pooled) in human
iPSC-derived neurons, microglia and multi-cellular stem cell
derived brain models. Serve as the technical expert in the design,
execution, and analysis of functional genomic screens. Develop and
optimize novel screening assays and readouts suitable for
neuronal/glial phenotypes. Perform cell culture, differentiation,
and genome engineering of human ESC/iPSC and/or immune cell types.
Analyze multi-omic datasets and collaborate with computational
scientists to derive insightful conclusions as well as generate new
testable hypotheses. Present findings at internal meetings and
external conferences, and contribute to the preparation of
high-impact manuscripts. Requirements PhD in Molecular Biology,
Bioengineering, Genetics, or a related field. 0-3 years of post-PhD
research experience (industry or academia). Strong hands-on
experience with mammalian cell culture and molecular biology
techniques (cloning, library preparation, etc.). Deep expertise in
functional genomics, specifically with CRISPR screening
technologies (pooled or arrayed) including library design, library
cloning, delivery of gene editors, screen design, screen execution
and screen analysis. Strong critical thinking and data analysis
skills, with the ability to troubleshoot complex experimental
protocols. Excellent written and verbal communication skills, with
a track record of peer-reviewed publications or preprints. A
collaborative mindset and enthusiasm for mentoring and working
within a cross-functional team. Preferred Qualifications Experience
with single-cell RNA-seq and single-cell genomics technologies
(e.g. 10X Genomics, Perturb-seq/CROP-seq or similar). Experience
with live-cell microscopy, optical pooled screening and/or
multiplexed proteomic readouts (e.g. CITE-seq, Olink or similar).
Experience working with human iPSCs and differentiation procedures.
Background in neurobiology/neurodegenerative disorders. Proficient
in bioinformatics/data analysis of large datasets (using Python, R
etc) The base salary range for this position is $121,250 to
$159,500. 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.
Keywords: Arc Institute, South San Francisco , Scientist, Functional Genomics, Konermann Lab, Science, Research & Development , Palo Alto, California