Senior Computational Biologist
Company: Stanford Medicine
Posted on: January 10, 2022
The Department of Genetics at Stanford University is seeking a
Senior Computational Biologist / Research Scientist
(Biostatistician 2) to join the Engreitz Laboratory to map the
regulatory wiring of the human genome to discover genetic
mechanisms of heart diseases. The Engreitz Lab will launch at the
Stanford University Department of Genetics and Children's Heart
Center starting in 2020. The ideal candidate will join as soon as
possible. Candidate will have the option to train with the Engreitz
group at the Broad Institute in Cambridge, MA during a transition
period in 2020.
Lab overview: DNA regulatory elements in the human genome, which
harbor thousands of genetic risk variants for common and rare
diseases and could reveal targets for therapeutics that aim to
precisely tune cellular functions - if only we could map the
complex regulatory wiring that connects 2 million regulatory
elements with 21,000 genes in thousands of cell types in the human
body. We have recently developed new approaches that could enable
mapping this regulatory wiring at massive scale (see Fulco et al.
Science 2016, Fulco et al. bioRxiv 2019). We invent new tools
combining experimental and computational genomics, biochemistry,
molecular biology, and human genetics to assemble regulatory maps
of the human genome and uncover biological mechanisms of heart
We are looking for creative and passionate people at any stage in
their careers, including senior computational biologists.
Candidates will design and lead computational projects that push
the boundaries of computational genomics, reveal fundamental
aspects of genome regulation, and identify the functions of genetic
variants associated with human diseases.
Specific projects include: to leverage computational modeling to
understand molecular mechanisms of gene regulation; to chart
enhancer-promoter regulation in every cell type and state in the
developing heart using large-scale single-cell CRISPR and
epigenomic data; to develop computational algorithms and methods to
analyze data from new experimental technologies developed in the
lab; and develop novel computational models to understand genetic
regulation of heart disease by noncoding variants. For more
information and recent work, see www.engreitzlab.org
The Engreitz Laboratory is a dynamic, interdisciplinary workplace
that will provide unique access to cutting edge technologies and
scientific thought, with the potential for widespread recognition
of scientific contributions. We value a diversity of values,
backgrounds, and approaches to solving problems.
The ideal candidate should have expertise in statistical methods in
data analysis, preferably with applications to high-throughput
sequencing or other biological assays; strong knowledge of
molecular biology and genomics; fluency in Unix and standard
programming and data analysis languages (Python, R, or equivalent);
interest in mentoring and training other lab members in
computational biology and statistics; excellent communication,
organization, and time management skills; and creativity and
- Collaborate with experimentalists and computational biologists
to develop and apply functional genomics techniques.
- Design and implement generalizable algorithms and tools for
analysis of biological data, including high-throughput functional
- Evaluate and recommend new emerging technologies, approaches,
- Design and lead independent projects.
- Create scientifically rigorous visualizations, communications,
and presentations of results.
- Contribute to generation of protocols, publications, and
- Maintain and organize computational infrastructure and
* - Other duties may also be assigned.
- Suggested: Ph.D. in computational biology, genetics, computer
science, statistics, math, molecular biology, or related field, or
equivalent practical experience. Talented applicants of all levels
are encouraged to apply.
- Demonstrated expertise in statistical methods in data analysis,
preferably with applications to high-throughput sequencing or other
- Strong knowledge of molecular biology and genomics; wet-lab
experience a plus
- Fluency in Unix, standard bioinformatics tools (Python, R, or
equivalent), and a programming language (C/C++, Java)
- Mentor and train other lab members in computational biology and
- Excellent communication, organization, and time management
- Creative, organized, motivated, team player
- A passion for science and sense of urgency to find new
medicines to benefit patients
EDUCATION & EXPERIENCE (REQUIRED):
Master's degree in biostatistics, statistics or related field and
at least 3 years of experience.
KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
- Proficient in at least two of R, SAS, SPSS, or STATA.
- Skills in descriptive analysis, modeling of data, and graphic
- Outstanding ability to communicate technical information to
both technical and non-technical audiences.
- Demonstrated excellence in at least one area of expertise,
which may include coordinating studies; statistical methodology
such as missing data, survival analysis, statistical genetics, or
informatics; statistical computing; database design (e.g.,
expertise in RedCAP or MySQL); graphical techniques (e.g.,
expertise in Illustrator).
CERTIFICATIONS & LICENSES:
- Frequently perform desk based computer tasks, seated work and
use light/ fine grasping.
- Occasionally stand, walk, and write by hand, lift, carry, push
pull objects that weigh up to 10 pounds.
* - Consistent with its obligations under the law, the University
will provide reasonable accommodation to any employee with a
disability who requires accommodation to perform the essential
functions of his or her job.
May work extended or non-standard hours based on project or
business cycle needs.
WORK STANDARDS (from JDL):
- Interpersonal Skills: Demonstrates the ability to work well
with Stanford colleagues and clients and with external
- Promote Culture of Safety: Demonstrates commitment to personal
responsibility and value for safety; communicates safety concerns;
uses and promotes safe behaviors based on training and lessons
- Subject to and expected to comply with all applicable
University policies and procedures, including but not limited to
the personnel policies and other policies found in the University's
Administrative Guide, http://adminguide.stanford.edu .
- Schedule: Full-time
- Job Code: 5522
- Employee Status: Regular
- Pay Grade: I
- Department URL: http://genetics.stanford.edu/
- Requisition ID: 87463 As an organization that receives federal
funding, Stanford University has a COVID-19 vaccination requirement
that will apply to all university employees, including those
working remotely in the United States and applicable
subcontractors. To learn more about COVID policies and guidelines
for Stanford University Staff, please visit
Keywords: Stanford Medicine, Fremont , Senior Computational Biologist, Other , Fremont, California
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