Computational Biologist/Machine Learning Engineer
Spectrix Analytical Services is seeking a Computational Biology / ML Engineer. This role focuses on enabling scientists to leverage computational tools for protein therapeutic design and building end-to-end machine learning pipelines. This is a full-time (40 hours/week) remote position with a preference for US Eastern time zone.
The work will be across a Kubernetes-based workflow orchestration platform and a scientific tools monorepo containing containerized computational biology applications. The role involves making these systems accessible to scientists, integrating new tools, and developing automated ML pipelines that drive therapeutic discovery from a computational perspective.
Key Responsibilities:
Develop and maintain automated end-to-end machine learning pipelines for protein therapeutic design.
Enable scientists to adopt and use computational tooling through documentation, CLI tools, and hands-on support.
Integrate new scientific tools into containerized environments and deploy them to Kubernetes.
Build and maintain Helm charts, container images, and deployment infrastructure as part of daily workflow.
Develop Python-based tooling and SDK integrations for workflow orchestration.
Collaborate with scientists and engineering leads to identify and build computational tools that accelerate discovery.
Qualifications:
B.S. degree
0-2 Years related experience
Strong Python development skills with experience building production-grade tooling or pipelines.
Working knowledge of Kubernetes, Helm, and container-based deployments.
Experience developing or deploying machine learning pipelines in a production environment.
Familiarity with infrastructure-as-code and CI/CD practices.
Exposure to Rust is a plus.
Willingness to learn computational biology and protein science domains.
Effective communicator who can work independently in a remote environment and collaborate with both engineers and scientists.
Primary Location:
United States (Remote — Eastern time zone preferred)
Spectrix offers flexible schedules, competitive salaries, and a committed work environment to its employees; the company provides automatic benefits of life insurance and short and long term disability insurance. Optional benefits for full time employees include health, dental, and vision insurance, college loan assistance, and an employer matched retirement savings plan. Spectrix is not a placement agency.
Spectrix is participating in the E-Verify program of the U.S. Department of Homeland Security (phone number: 888-897-7781, and website: www.dhs.gov/E-Verify).
Job Type: Full-time
Pay: $30.00 - $36.00 per hour
Benefits:
• 401(k)
• 401(k) matching
• Dental insurance
• Flexible schedule
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Professional development assistance
• Tuition reimbursement
• Vision insurance
Application Question(s):
• Are you located on the East Coast?
Education:
• Bachelor's (Required)
Work Location: Remote
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The work will be across a Kubernetes-based workflow orchestration platform and a scientific tools monorepo containing containerized computational biology applications. The role involves making these systems accessible to scientists, integrating new tools, and developing automated ML pipelines that drive therapeutic discovery from a computational perspective.
Key Responsibilities:
Develop and maintain automated end-to-end machine learning pipelines for protein therapeutic design.
Enable scientists to adopt and use computational tooling through documentation, CLI tools, and hands-on support.
Integrate new scientific tools into containerized environments and deploy them to Kubernetes.
Build and maintain Helm charts, container images, and deployment infrastructure as part of daily workflow.
Develop Python-based tooling and SDK integrations for workflow orchestration.
Collaborate with scientists and engineering leads to identify and build computational tools that accelerate discovery.
Qualifications:
B.S. degree
0-2 Years related experience
Strong Python development skills with experience building production-grade tooling or pipelines.
Working knowledge of Kubernetes, Helm, and container-based deployments.
Experience developing or deploying machine learning pipelines in a production environment.
Familiarity with infrastructure-as-code and CI/CD practices.
Exposure to Rust is a plus.
Willingness to learn computational biology and protein science domains.
Effective communicator who can work independently in a remote environment and collaborate with both engineers and scientists.
Primary Location:
United States (Remote — Eastern time zone preferred)
Spectrix offers flexible schedules, competitive salaries, and a committed work environment to its employees; the company provides automatic benefits of life insurance and short and long term disability insurance. Optional benefits for full time employees include health, dental, and vision insurance, college loan assistance, and an employer matched retirement savings plan. Spectrix is not a placement agency.
Spectrix is participating in the E-Verify program of the U.S. Department of Homeland Security (phone number: 888-897-7781, and website: www.dhs.gov/E-Verify).
Job Type: Full-time
Pay: $30.00 - $36.00 per hour
Benefits:
• 401(k)
• 401(k) matching
• Dental insurance
• Flexible schedule
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Professional development assistance
• Tuition reimbursement
• Vision insurance
Application Question(s):
• Are you located on the East Coast?
Education:
• Bachelor's (Required)
Work Location: Remote
Apply tot his job
Apply To this Job