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Freelance Bioinformatics Machine Learning Jobs in Wisconsin

AgSource

Computational Biologist

Madison, WI

Experience managing bioinformatics pipelines in Unix/Linux environments. * Data Analysis & Machine Learning: Strong skills in data mining, machine learning (deep learning, pattern recognition), and ...

Farm Systems

Computational Biologist

Madison, WI

Experience managing bioinformatics pipelines in Unix/Linux environments. * Data Analysis & Machine Learning: Strong skills in data mining, machine learning (deep learning, pattern recognition), and ...

Urus Group LP

Computational Biologist

Madison, WI · On-site

Experience managing bioinformatics pipelines in Unix/Linux environments. * Data Analysis & Machine Learning: Strong skills in data mining, machine learning (deep learning, pattern recognition), and ...

Urus

Computational Biologist

Madison, WI · On-site

Experience managing bioinformatics pipelines in Unix/Linux environments. * Data Analysis & Machine Learning: Strong skills in data mining, machine learning (deep learning, pattern recognition), and ...

AgSource

Computational Biologist

Madison, WI · On-site

Experience managing bioinformatics pipelines in Unix/Linux environments. * Data Analysis & Machine Learning: Strong skills in data mining, machine learning (deep learning, pattern recognition), and ...

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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 Wisconsin? The most popular types of Bioinformatics Machine Learning jobs in Wisconsin are:
What are popular job titles related to Freelance Bioinformatics Machine Learning jobs in Wisconsin? For Freelance Bioinformatics Machine Learning jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Freelance Bioinformatics Machine Learning jobs in Wisconsin look for? The top searched job categories for Freelance Bioinformatics Machine Learning jobs in Wisconsin are:
What cities in Wisconsin are hiring for Freelance Bioinformatics Machine Learning jobs? Cities in Wisconsin with the most Freelance Bioinformatics Machine Learning job openings:
Freelance Bioinformatics Machine Learning jobs near you
Bioinformatics Analyst I Exempt

Bioinformatics Analyst I Exempt

Medical College of Wisconsin

Milwaukee, WI • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago

Medical College Of Wisconsin rating

8.2

Company rating: 8.2 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

106th of 529 rated colleges and universities

Job description

Summary
Our unique program focuses on how to interpret genetic variations that cause human diseases by leveraging protein structure-based simulations and calculations. We take a proteogenomic approach, developing the processes to apply computational biochemistry, computational biophysics, and more to individualize genomic data interpretation to specific clinical and research cases. The team leverages multi-disciplinary approaches, including Big Genomics Data, systems biology, computational biophysics, biochemistry, and structural protein bioinformatics, to develop a more comprehensive and integrated understanding of the underlying mechanisms of diseases. The successful candidate will join our productive team using our established computational structural genomics workflow and team-based process that we have developed. Specifically, we seek someone with experience using computational modeling tools (e.g., molecular dynamics simulations and molecular mechanics calculations) and, ideally, an understanding of genetics and molecular biology. The ability to effectively communicate within a diverse team is critical, including presenting findings, working collaboratively, generating publication-quality figures, adapting to priorities, discussing barriers to progress as they are identified, and being flexible regarding the technologies used so that we can efficiently accomplish our scientific and translational research goals.
Primary Responsibilities
  • Understands principles of biomolecular structure, molecular simulations, and the interpretation of results. Independently provides troubleshooting for data generation and processing. Maintains a working understanding of principles in genetics, biochemistry, molecular biology, and biophysics.
  • Develops, implements, and refines bioinformatic workflows and tools for analyzing and visualizing molecular simulation data. Runs standardized workflow for annotating protein and biomolecular structures.
  • Leads the analysis and writing for a portfolio of modeling projects, prioritized by the team and Director. Implements triaging workflow and generates reports. Contributes to collaborative research publications. Presents regular project updates at team meetings and with collaborators.
  • Adapts bioinformatics tools, visualization packages, and annotation resources to perform research analysis independently and accurately - flexibility and competency in data wrangling.
  • Development of automated analysis methods to assess model quality, computed features, and analyze MD simulations. Statistical mechanics and machine learning preferred.
  • Excellent written and verbal communication skills to present analysis to our group and externally, through research presentations and papers.

Knowledge - Skills - Abilities
  • This position requires strong analytical skills, working knowledge of molecular biology, biophysics, and statistics, as well as experience using tools for molecular simulation, visualization, and analysis.
  • The successful candidate will be highly motivated to learn and be part of our ongoing work to pioneer our lab's work to apply molecular modeling to interpret human genetic variation's effects.
  • Working experience with structural bioinformatics tools and algorithms is required (either by command line or IDEs).
  • Experience with Linux-based HPC systems is preferred but not required.
  • The successful candidate will receive training on the established workflow and modeling process, with opportunities to improve and expand the workflow, especially in the automation of machine learning and statistical mechanics approaches to evaluating protein structural and Molecular Dynamics data for their cellular and biological meaning.
  • The priority for the current position is to apply our approach to chromatin regulatory complexes.
  • The successful candidate will be organized, detail-oriented, demonstrate an ability to critically read, understand, and interpret scientific publications, and effectively communicate verbally and in writing.

Qualifications
Appropriate experience may be substituted for education on an equivalent basis.
Minimum Required Education: Bachelor's degree - Bioinformatics, Structural Biology, Molecular Genetics, Biophysics, Molecular Biology, Machine Learning/AI, or comparable field
Minimum Required Experience: 1+ year
Preferred Education: M.S. or PhD
Preferred Experience: 1+ year or Thesis, Dissertation, or Publications with direct relevance
Physical Requirements
Work requires occasionally lifting moderate weight materials, standing, or walking continuously.
Work Environment
Occasional exposure to dust, noise, temperature changes, or contact with water or other liquids. Work is performed in an environmentally controlled environment.
Sensory Acuity
Ability to detect and translate speech or other communication required. May occasionally require the ability to distinguish colors and perceive relative distances between objects.
#LI-AV1
Why MCW?
  • Outstanding Healthcare Coverage, including but not limited to Health, Vision, and Dental. Along with Flexible Spending options
  • 403B Retirement Package
  • Competitive Vacation and Paid Holidays offered
  • Tuition Reimbursement
  • Paid Parental Leave
  • Employee & Family Assistance Program (EFAP)
  • Pet Insurance
  • On campus Fitness Facility, offering onsite classes
  • Additional discounted rates on items such as: Select cell phone plans, local fitness facilities, Milwaukee recreation and entertainment etc.

For a brief overview of our benefits see: Benefits Overview
For a full list of positions see: MCW Careers
At MCW all of our endeavors, from our internal operations to our interactions with our partners, are driven by our shared organizational values: Caring - Collaborative - Curiosity - Inclusive - Integrity - Respect. We are committed to fostering an inclusive environment that values diversity in backgrounds, experiences, and perspectives through merit-based processes and in alignment with all applicable laws. We believe that embracing human differences is critical to realize our vision of a healthier world, and we recognize that a healthy and thriving community starts from within. Our values define who we are, what we stand for and how we conduct ourselves at MCW. If you believe in embracing individuality and working together according to these principles to improve health for all, then MCW is the place for you. For more information, please visit our institutional website.
MCW as an Equal Opportunity Employer and Commitment to Non-Discrimination:
The Medical College of Wisconsin (MCW) is an Equal Opportunity Employer. We are committed to fostering an inclusive community of outstanding faculty, staff, and students, as well as ensuring equal educational opportunity, employment, and access to services, programs, and activities, without regard to an individual's race, color, national origin, religion, age, disability, sex, gender identity/expression, sexual orientation, marital status, pregnancy, predisposing genetic characteristic, or military status. Employees, students, applicants or other members of the MCW community (including but not limited to vendors, visitors, and guests) may not be subjected to harassment that is prohibited by law or treated adversely or retaliated against based upon a protected characteristic.

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About Medical College of Wisconsin

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The Medical College of Wisconsin (MCW) is an industry-leading educational institution located in Milwaukee, WI, US. Being part of the medical and health services sector, MCW's primary mission is to educate and train the next generation of healthcare professionals. MCW offers a wide array of degrees and programs within medical and health sciences, covering everything from medical, graduate, pharmacy and health sciences studies, to continuing professional developments and community engagement initiatives. Founded in 1893, MCW boasts a rich, well-entrenched history in shaping the medical education landscape locally and globally. The institution's core values of knowledge-changing life underline its dedication to incorporating innovative approaches in education and research, commitment to diversity and inclusion, service to the community, integrity, stewardship, and collaboration.

Industry

Health care and social assistance

Company size

5,001 - 10,000 Employees

Headquarters location

Milwaukee, WI, US

Year founded

1893

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