Research Software Engineer (Bioinformatics/Genomics/Neuroscience) job with Princeton University

Research Software Engineer
(Bioinformatics/Genomics/Neuroscience)

US-NJ-Princeton

Job ID: 2023-16265
Type: Full-Time
# of Openings: 1
Category: Engineering

Princeton University

Overview

Do you want to help enable and advance
groundbreaking neuroscience research through software development?
Do you have a background in research but love to write code? Are
you looking to apply your scientific programming expertise to a
novel set of research problems? Together, the Krienen and Pena labs
(krienenlab.org; penalab.org ) at the Princeton Neuroscience
Institute are looking for an outstanding Research Software
Engineer. The successful candidate will join a multidisciplinary
group and support a wide variety of projects conducting
cutting-edge research on the molecular, cellular, and
neurobiological mechanisms of brain evolution, development, and
disorders.

In this position, you will be an integral
member of two neuroscience research teams focused on the
cutting-edge of transcriptomic and epigenomic research applied to
understanding how experience shapes brain development and circuits,
as well as on the development of genomics-informed tools to enable
neuroscience research. Your role will be to provide computational
expertise in algorithm development, selection, and optimization to
create efficient and scalable research code.

If you have a strong background in
scientific programming, academic research, and an interest in
neuroscience and genomics, you have the right skill set to make an
immediate impact on multiple high-profile research projects.

This is a one-year position with the
possibility of renewal contingent upon funding availability and
performance. A remote work arrangement within the United States may
be considered for candidates with the appropriate background and
experience.

Responsibilities

  • Write, manage and optimize computational workflows that enable
    major analysis activities – from read alignment to cell calling to
    cell clustering to downstream statistical analyses
  • Develop, refine, optimize and apply analysis methods and
    software to a variety of datasets, including single-cell RNA-seq,
    ATAC-seq, and multiome data
  • Expand the capacity of software pipelines to process expanding
    datasets
  • Produce open-source methods that can be utilized by other
    researchers; carefully document and annotate source code for
    utilization by the scientific community
  • Develop software allowing the project team, and the broader
    scientific community, to access, analyze and interact with data
    generated by projects
  • Develop data-visualization software capabilities for the
    research team, and visualizations of data for a variety of
    stakeholders
  • Work with scientists, data managers and other software
    engineers toward the creation of optimal analysis workflows for
    high-data-volume experiments. Participate in project-planning and
    project-analysis meetings as well as software-planning meetings,
    communicating the needs and tradeoffs

Qualifications

Essential Qualifications

Bachelor’s degree plus 3+ years of
experience in neuroscience, computational biology, genomics or a
related field required. A graduate degree is preferred.
Experience working with cluster computing
(GridEngine, SLURM, LSF)
Strong programming skills, particularly in
Python and R
Demonstrated successes working in a collaborative software
development environment as well as working independently
Ability to learn new tools and technologies
Ability to communicate effectively with a diverse group of
researchers with varied levels of technical proficiency

Preferred Qualifications
Genomic analysis and computation,
particularly with single cell genomics workflows
Experience with Shiny R or UI for data visualization
Experience with cloud computing
Academic research experience
Background in neuroscience, computational biology, genomics or a
related field

This position is subject to the
University’s background check policy.

Princeton University is an Equal
Opportunity/Affirmative Action Employer and all qualified
applicants will receive consideration for employment without regard
to age, race, color, religion, sex, sexual orientation, gender
identity or expression, national origin, disability status,
protected veteran status, or any other characteristic protected by
law. KNOW YOUR RIGHTS

PI209749871

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