SPECTRAFORCE
Overview
Job Title:
Bioinformatics Software Engineer
Location:
Foster City, CA – Hybrid
Duration:
3–9 months (Contract)
About the Role:
We are seeking a highly motivated
Bioinformatics Software Engineer
to join our team in developing a next-generation computational platform for
antibody-based therapeutic design and assessment . This role will focus on building scalable infrastructure, automating molecular modeling workflows, and creating interactive data visualizations to support cutting-edge scientific research.
Key Responsibilities
Design and implement a
scalable, web-based interface
for antibody and multispecific modeling workflows.
Develop and optimize
database schemas
for molecular modeling data and metadata.
Build and maintain
FastAPI-based backend services
to support computational pipelines.
Integrate molecular modeling tools (e.g.,
MOE, Schrödinger ) into automated workflows.
Collaborate closely with scientists and data science teams to translate research needs into robust software solutions.
Ensure code quality through
modular design, documentation, and maintainability .
Support
platform deployment and testing
in cloud-based environments.
Required Qualifications
Master’s or PhD in
Computer Science, Bioinformatics, Computational Biology, Physics , or a related field.
2–3 years of experience in
software engineering , preferably in scientific/biotech environments.
Strong skills in
Python
and experience with
FastAPI .
Experience with
SQL/NoSQL databases ,
AWS or GCP , and
Docker .
Hands-on experience developing
automated computational pipelines .
Excellent
collaboration and communication skills
within multidisciplinary teams.
Knowledge of
protein structure, antibody design, or biophysics
is a plus.
Preferred Qualifications
Familiarity with molecular modeling tools such as
MOE
or
Schrödinger .
Understanding of
developability assessment metrics
and antibody engineering principles.
Previous experience in
biotech or pharmaceutical industry
settings.
Why Join Us
Work on
cutting-edge antibody therapeutics
and computational biology projects.
Collaborate with a
multidisciplinary team
of scientists, engineers, and data scientists.
Gain experience with
cloud-based platforms, scalable pipelines, and modern web technologies .
How to Apply If you’re passionate about combining
software engineering with computational biology
and want to contribute to innovative therapeutic solutions, please submit your resume and cover letter to
pranjali.tiwari@spectraforce.com .
#J-18808-Ljbffr
Bioinformatics Software Engineer
Location:
Foster City, CA – Hybrid
Duration:
3–9 months (Contract)
About the Role:
We are seeking a highly motivated
Bioinformatics Software Engineer
to join our team in developing a next-generation computational platform for
antibody-based therapeutic design and assessment . This role will focus on building scalable infrastructure, automating molecular modeling workflows, and creating interactive data visualizations to support cutting-edge scientific research.
Key Responsibilities
Design and implement a
scalable, web-based interface
for antibody and multispecific modeling workflows.
Develop and optimize
database schemas
for molecular modeling data and metadata.
Build and maintain
FastAPI-based backend services
to support computational pipelines.
Integrate molecular modeling tools (e.g.,
MOE, Schrödinger ) into automated workflows.
Collaborate closely with scientists and data science teams to translate research needs into robust software solutions.
Ensure code quality through
modular design, documentation, and maintainability .
Support
platform deployment and testing
in cloud-based environments.
Required Qualifications
Master’s or PhD in
Computer Science, Bioinformatics, Computational Biology, Physics , or a related field.
2–3 years of experience in
software engineering , preferably in scientific/biotech environments.
Strong skills in
Python
and experience with
FastAPI .
Experience with
SQL/NoSQL databases ,
AWS or GCP , and
Docker .
Hands-on experience developing
automated computational pipelines .
Excellent
collaboration and communication skills
within multidisciplinary teams.
Knowledge of
protein structure, antibody design, or biophysics
is a plus.
Preferred Qualifications
Familiarity with molecular modeling tools such as
MOE
or
Schrödinger .
Understanding of
developability assessment metrics
and antibody engineering principles.
Previous experience in
biotech or pharmaceutical industry
settings.
Why Join Us
Work on
cutting-edge antibody therapeutics
and computational biology projects.
Collaborate with a
multidisciplinary team
of scientists, engineers, and data scientists.
Gain experience with
cloud-based platforms, scalable pipelines, and modern web technologies .
How to Apply If you’re passionate about combining
software engineering with computational biology
and want to contribute to innovative therapeutic solutions, please submit your resume and cover letter to
pranjali.tiwari@spectraforce.com .
#J-18808-Ljbffr