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Freelance Bioinformatics Machine Learning Jobs in Virginia

... machine learning techniques, including classification or regression models, clustering algorithms, and graph-based approaches for biological data * Experience with bioinformatics visualization tools ...

Bioinformaticist

Mclean, VA · On-site

$99K - $225K/yr

... machine learning techniques, including classification or regression models, clustering algorithms, and graph-based approaches for biological data * Experience with bioinformatics visualization tools ...

Bioinformaticist

Mclean, VA · On-site

$99K - $225K/yr

... machine learning techniques, including classification or regression models, clustering algorithms, and graph-based approaches for biological data * Experience with bioinformatics visualization tools ...

... machine learning techniques, including classification or regression models, clustering algorithms, and graph-based approaches for biological data * Experience with bioinformatics visualization tools ...

... machine learning techniques, including classification or regression models, clustering algorithms, and graph-based approaches for biological data * Experience with bioinformatics visualization tools ...

Bioinformaticist

Charlottesville, VA · On-site

$99K - $225K/yr

... machine learning techniques, including classification or regression models, clustering algorithms, and graph-based approaches for biological data * Experience with bioinformatics visualization tools ...

... machine learning techniques, including classification or regression models, clustering algorithms, and graph-based approaches for biological data * Experience with bioinformatics visualization tools ...

... machine learning techniques, including classification or regression models, clustering algorithms, and graph-based approaches for biological data * Experience with bioinformatics visualization tools ...

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Freelance Bioinformatics Machine Learning information

What are the key skills and qualifications needed to thrive as a Freelance Bioinformatics Machine Learning Specialist, and why are they important?

To thrive as a Freelance Bioinformatics Machine Learning Specialist, you need a strong background in biology, statistics, and programming (such as Python or R), typically supported by a relevant degree in bioinformatics, computer science, or a related field. Familiarity with bioinformatics tools (e.g., BLAST, Bioconductor), machine learning libraries (scikit-learn, TensorFlow), and experience with cloud computing platforms are highly valuable. Strong problem-solving, communication, and project management skills help distinguish top freelancers in this field. These capabilities are crucial for independently delivering accurate, actionable biological insights to clients and efficiently managing multiple projects.

What are some common challenges freelance bioinformatics machine learning professionals face when working with multiple clients?

Freelance bioinformatics machine learning professionals often encounter challenges such as managing diverse data formats, aligning project expectations, and ensuring data privacy across multiple clients. Each client may have unique datasets, varying levels of documentation, and different computational infrastructure, requiring adaptability and strong communication skills. Balancing multiple deadlines and maintaining clear, consistent reporting are also important to foster trust and long-term collaborations.

What does a Freelance Bioinformatics Machine Learning specialist do?

A Freelance Bioinformatics Machine Learning specialist applies machine learning techniques to analyze biological data, such as genomics, proteomics, and medical records, on a project-by-project basis. They typically work independently with research labs, biotech companies, or healthcare organizations to develop algorithms, build predictive models, and interpret complex biological datasets. Their work helps drive insights in areas like drug discovery, personalized medicine, and disease prediction, often leveraging tools like Python, R, and specialized bioinformatics software. As freelancers, they have the flexibility to choose projects, set their schedules, and work remotely.

What is the difference between Freelance Bioinformatics Machine Learning vs Freelance Data Scientist?

AspectFreelance Bioinformatics Machine LearningFreelance Data Scientist
CredentialsBackground in bioinformatics, biology, or related fields; knowledge of machine learningBackground in statistics, computer science, or related fields; strong programming skills
Work EnvironmentResearch labs, biotech companies, academic projects, freelance consultingVarious industries including finance, tech, healthcare, consulting
Industry UsagePrimarily biotech, healthcare, genomics, pharmaceutical sectorsBroad industry application including finance, marketing, tech, healthcare

Freelance Bioinformatics Machine Learning specialists focus on applying machine learning techniques to biological data, often working within biotech and healthcare sectors. In contrast, Freelance Data Scientists have a broader scope, working across multiple industries with diverse datasets. Both roles require strong analytical skills and programming expertise, but their industry focus and domain knowledge differ significantly.

What are the most commonly searched types of Bioinformatics Machine Learning jobs in Virginia? The most popular types of Bioinformatics Machine Learning jobs in Virginia are:
What are popular job titles related to Freelance Bioinformatics Machine Learning jobs in Virginia? For Freelance Bioinformatics Machine Learning jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Freelance Bioinformatics Machine Learning jobs in Virginia look for? The top searched job categories for Freelance Bioinformatics Machine Learning jobs in Virginia are:
What cities in Virginia are hiring for Freelance Bioinformatics Machine Learning jobs? Cities in Virginia with the most Freelance Bioinformatics Machine Learning job openings:
Bioinformatics Analyst - (Hybrid)

Bioinformatics Analyst - (Hybrid)

RTX

Arlington, VA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago


RTX rating

8.1

Company rating: 8.1 out of 10

Based on 84 frontline employees who took The Breakroom Quiz

34th of 59 rated aerospace companies


Job description

Position Role Type:

Hybrid

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance

Security Clearance Type:

DoD Clearance: TS/SCI

Security Clearance Status:

Active and existing security clearance required after day 1

At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Join us and help shape the future of aerospace and defense.

RTX BBN Technologies, a subsidiary of RTX Corporation, is the research company behind many revolutionary advances that we take for granted today. BBN is where email was invented, GenBank was originally developed, and the first routers were implemented. Today, BBN's scientists and engineers are working to advance the state-of-the-art on topics ranging from artificial intelligence to quantum cryptography to synthetic biology. BBN offers the opportunity to perform exciting and revolutionary research that solves important problems in an exciting, collaborative environment.

What You Will Do

  • We're looking for a creative, collaborative, and highly motivated computational biologist to join our Applied Biosciences R&D team to work on exciting, advanced biology research projects for the U.S. Government. The candidate will work with a team of about 12 people, and contribute to multi-year, interdisciplinary programs that bring together teams in biology, engineering, and data science to develop and transition new biotechnology solutions in support of national security.
  • Candidates should expect that they may be required to travel to a BBN, RTX, teammate, or customer site for meetings or other business-related activities.

Qualifications You Must Have

  • A Bachelor's degree in Biology, Bioinformatics, Computational Biology, or related field
  • Demonstrated programming experience (navigating Linux command line environment; Python for biological analysis and software development)
  • Experience using development infrastructure such as git/version control, virtual environments (e.g., conda, Python venv, R renv, virtual machines), containerization (e.g., Docker, Apptainer), etc.
  • The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance

Qualifications We Prefer

  • Active Security Clearance Preferred
  • Bioinformatics analysis experience with a knowledge of common bioinformatics tools and workflows (genomics required; additional 'omics modalities desirable)
  • Experience working with common bioinformatics databases (NCBI, UniProt, PDB, etc.)
  • Experience with data science techniques: data analysis, automation, visualization techniques
  • Experience using artificial intelligence and/or machine learning tools to generate analytical outcomes
  • Experience with generatingdata analysis reports and communicating findings to the team

What We Offer

  • Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation.
  • Relocation Eligibility

Learn More & Apply Now!

Please consider the following role type definition as you apply for this role.

  • Hybrid: Employees who are working in Hybrid roles will work regularly both onsite and offsite. Ratio of time working onsite will be determined in partnership with your leader.
  • Please upload a copy of your most recent transcripts with your resume when applying to this requisition. Include your cumulative GPA and projected graduation date on your resume.
  • This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: https://www.state.gov/m/ds/clearances/c10978.htm

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 62,900 USD - 119,700 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.

Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.

Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.

This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.

RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.

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