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From Home Python Bioinformatics Jobs in Portland, OR

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All JobsPython Bioinformatics JobsFrom Home Python Bioinformatics JobsFrom Home Python Bioinformatics Jobs in Portland, OR

From Home Python Bioinformatics information

See Portland, OR salary details

$14

$62

$91

How much do from home python bioinformatics jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for from home python bioinformatics in Portland, OR is $62.17, according to ZipRecruiter salary data. Most workers in this role earn between $51.25 and $70.62 per hour, depending on experience, location, and employer.

What is a from home Python bioinformatics job?

A From Home Python Bioinformatics job involves working remotely to analyze and interpret biological data using Python programming. Professionals in this role apply computational techniques to solve problems in genomics, proteomics, and other areas of biology. They often write scripts or develop software to process large datasets, automate workflows, and visualize results for scientific research. These jobs typically require knowledge of both biology and computer science, as well as experience with relevant bioinformatics tools and libraries. Remote positions allow for flexible work arrangements, making it possible to collaborate with research teams from anywhere.

What are the key skills and qualifications needed to thrive as a from home Python bioinformatics professional?

To thrive as a From Home Python Bioinformatics professional, you need strong programming skills in Python, a solid background in biology or bioinformatics, and at least a bachelor's degree in a related field. Familiarity with bioinformatics tools (such as Biopython, BLAST, and genome analysis platforms), version control systems like Git, and relevant data analysis libraries is crucial. Excellent problem-solving abilities, attention to detail, and self-motivation are essential soft skills for managing complex projects independently. These competencies enable effective analysis of biological data, accurate interpretation of results, and efficient collaboration in remote or distributed research environments.

How do remote Python bioinformaticians typically collaborate with research teams and manage project communication?

Remote Python bioinformaticians often work closely with cross-functional teams, including biologists, data scientists, and clinicians, using digital collaboration tools like Slack, Zoom, and project management platforms to maintain clear communication. Regular virtual meetings and code-sharing via platforms like GitHub help ensure alignment on project goals and data analysis methods. Effective documentation and timely updates are essential for overcoming the challenges of remote teamwork, especially when projects involve large datasets or complex pipelines. Building strong communication habits and proactively seeking feedback are key to succeeding in this remote, collaborative environment.

What is the difference between From Home Python Bioinformatics vs From Home Data Scientist?

AspectFrom Home Python BioinformaticsFrom Home Data Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related fields; Python programming skillsBachelor's or Master's in Data Science, Computer Science, or related fields; Python and statistical skills
Work EnvironmentRemote, often in research labs, biotech companies, or academic settingsRemote, in tech companies, finance, healthcare, or consulting firms
Industry UsageBiotech, healthcare, academic researchTechnology, finance, marketing, healthcare

From Home Python Bioinformatics and From Home Data Scientist roles share common skills like Python programming and remote work settings. However, bioinformatics focuses on biological data analysis, while data science covers a broader range of industries and data types. Your choice depends on your industry interest and specific skill set.

From Home Python Bioinformatics jobs near you
Infographic showing various From Home Python Bioinformatics job openings in Portland, OR as of June 2026, with employment types broken down into 1% As Needed, 96% Full Time, 1% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $129,310 per year, or $62.2 per hour.

Sr Application Developer - Charles River Development (CRD)

Qode

Camas, WA • On-site

$105K - $145K/yr

Full-time

Re-posted 17 days ago

Job description

Client: Wealth Management

Position: Sr Application Developer - Charles River Development (CRD)

Compensation: $120K - $140K + Bonus

Location: Camas, WA or Plano, TX or Tampa, FL - On site 100% first 90 days and then 1 day a week WFH

Work Authorization: US or GC ONLY NO H1B's

Education: Bachelor's degree in finance, Economics, Computer Science, Engineering, Math, or equivalent

Experience:

  • Must have financial institution or wealth management background in investment
  • Hands-on experience with the Charles River API Framework (frontend and backend)
  • 10+ years experience in Application Development:
  • Advanced SQL – complex queries, performance tuning
  • Java or C# – ability to interpret, collaborate, and support integrations
  • REST API integration, testing, and troubleshooting
  • Python Programming
  • 3+ years CRD Implementation / Customization , Workbench (Manager or Central) configuration experience
  • Experience with CRD Batch Automation, including monitoring and exception handling
  • Familiarity with portfolio optimization concepts (risk factors, constraints, optimization models)
  • Experience with optimization tools such as Axioma and OMET/Gap Point.
  • Experience with Order Management workflows, markets, and trading processes (Equities & Fixed Income)

Responsibilities:

  • Lead end-to-end delivery of CRD enhancements: requirements, design, CRD configuration, integrations, testing, deployment, and ongoing support
  • Configure Manager Work Bench or Central Work Bench layouts, workflows, rules, and result sets
  • Hands-on work with the Charles River API Framework, including:
  • Frontend APIs – UI workflows, triggers, CRD interaction points
  • Backend APIs – data calls, order submissions, guideline checks, reference data, trading flows
  • Build and support integration workflows using REST APIs, services, and messaging frameworks
  • Apply working knowledge of portfolio optimization concepts (risk models, constraints, exposures, and transaction cost analysis)
  • Familiarity with industry optimization platforms including Axioma (portfolio construction, risk model integration) and OMEGA Point (optimization and risk analytics tools)
  • Collaborate with Portfolio Engineering teams to support optimization workflows feeding CRD
  • Ensure Start‑of‑Day readiness for CRD and support ongoing system stability
  • Translate our requirements into detailed functional and technical specifications, user stories, diagrams, and interface documentation