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Remote Bioinformatics Machine Learning Jobs in Elizabethtown, PA

Data Scientist 3

Lititz, PA · On-site +1

$130K - $150K/yr

This role can be remote in some US states (See below for remote work requirements) or based in one ... Demonstrable portfolio (git repos, kaggle competitions, etc) of machine learning projects. * You ...

This role can be remote in some US states (See below for remote work requirements) or based in one ... Demonstrable portfolio (git repos, kaggle competitions, etc) of machine learning projects. * You ...

Remote Bioinformatics Machine Learning information

See Elizabethtown, PA salary details

$53.6K

$85.1K

$134.6K

How much do remote bioinformatics machine learning jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote bioinformatics machine learning in Elizabethtown, PA is $85,081.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $116,600.00 per year, depending on experience, location, and employer.

What is a remote bioinformatics machine learning specialist?

A Remote Bioinformatics Machine Learning specialist is a professional who applies machine learning techniques to biological data, such as genomics or proteomics, while working from a remote location. They analyze complex biological datasets to uncover patterns, make predictions, and contribute to advancements in areas like drug discovery, disease research, and personalized medicine. These specialists typically have strong skills in programming, statistics, biology, and data analysis, and collaborate with researchers and healthcare professionals through digital communication tools.

What are the key skills and qualifications needed to thrive as a remote bioinformatics machine learning specialist?

To excel as a Remote Bioinformatics Machine Learning Specialist, a strong background in computational biology, statistics, and machine learning—often supported by an advanced degree in bioinformatics, computer science, or a related field—is essential. Proficiency with programming languages like Python or R, experience using machine learning frameworks (such as TensorFlow or scikit-learn), and familiarity with bioinformatics tools and databases are typically required. Excellent problem-solving, self-motivation, and clear communication skills help professionals collaborate effectively and independently in remote environments. These abilities are vital for developing accurate models, interpreting complex biological data, and contributing meaningful insights to scientific research.

How do remote bioinformatics machine learning professionals typically collaborate with cross-functional teams?

Remote bioinformatics machine learning professionals often work closely with biologists, data scientists, and software engineers. Collaboration is typically facilitated through virtual meetings, shared code repositories, and project management tools. Regular communication is essential to align on data requirements, model development, and interpretation of results. While remote work offers flexibility, it requires strong organizational skills and proactive engagement to ensure seamless teamwork and project success.

What is the difference between Remote Bioinformatics Machine Learning vs Remote Computational Biologist?

AspectRemote Bioinformatics Machine LearningRemote Computational Biologist
Required CredentialsMaster's or PhD in Bioinformatics, Computer Science, or related fields; experience in machine learningMaster's or PhD in Biology, Bioinformatics, or related fields; strong computational skills
Work EnvironmentRemote, collaborative teams in biotech, pharma, or research institutionsRemote or on-site, working in research labs or academic settings
Industry UsageUsed in biotech, healthcare, and pharmaceutical industries for data analysis and model developmentCommon in academic research, biotech, and healthcare for biological data interpretation

Remote Bioinformatics Machine Learning focuses on developing algorithms and models to analyze biological data using machine learning techniques. In contrast, Remote Computational Biologist applies computational methods to biological research questions, often integrating diverse data types. Both roles require strong computational skills and often overlap, but the former emphasizes machine learning expertise, while the latter has a broader biological research scope.

What cities near Elizabethtown, PA are hiring for Remote Bioinformatics Machine Learning jobs?

Cities near Elizabethtown, PA with the most Remote Bioinformatics Machine Learning job openings:

Infographic showing various Remote Bioinformatics Machine Learning job openings in Elizabethtown, PA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $85,081 per year, or $40.9 per hour.

Soil Health Intern

PASA Sustainable Agriculture

Lancaster, PA • On-site, Remote

$20/hr

Temporary

Posted 15 days ago


Job description

Soil Health Interns (Fall 2026)
Mission: Cultivating environmentally sound, economically viable, community-focused farms and food systems
Position overview: Do you have a background in agriculture, biology, ecology, or a related science and love getting out in the field? We are seeking multiple interns to help us with our 2026 soil sampling season. Pasa's Soil Health Benchmark Study is an ongoing regional community science project that helps farmers assess the health of their soils in relation to their management practices. With around 100 farms participating in the study in Pennsylvania, we need a lot of help collecting soil samples.
This is a seasonal position beginning October 1st and concluding by December 30th. Interns will primarily be responsible for collecting soil samples in farm fields across the state and gathering other data from farmers. Remote work will involve regular check- in meetings, training, and communication efforts related to coordinating visits. There may be additional opportunities for in-office workdays in Harrisburg.
Flexible availability is necessary for success in this role, since farm visits may be rescheduled last minute due to farmers' changing availability and weather conditions. Interns can expect to work 4 to 8 hours on most farm visit days, depending on the farm size and travel. With travel, some days may extend beyond 8 hours. While conducting fieldwork, interns will work with another intern or a Pasa staff member.
Pasa will be hiring multiple interns to participate in soil sampling, with each intern working about 15 to 30 hours per week. Please be prepared to discuss the average weekly schedule you're seeking within this stated range (15-30 hours per week). Interns must comply with Pasa's remote work policies and will report to Pasa's Research Coordinator.
Interns are required to review training material and attend virtual and in-person training days in early October.
Qualifications
  • Reliable transportation to rural areas, a valid driver's license, and vehicle insurance
  • Coursework or work experience related to biology, agriculture, or other related sciences
  • Previous agricultural, outdoor, field, or lab research experience
  • Able to communicate and work effectively in a remote environment
  • Able to communicate and work effectively with a diversity of farmers and people
  • Able to carry out detail oriented tasks and procedures successfully
  • Able to lift up to 40 pounds and perform physical labor outdoors (e.g. digging 12 in holes and carrying equipment across fields that could be 20+ acres in size) in a variety of soil conditions (i.e. rocky to sandy soils) and weather conditions typical for Pennsylvania in the fall (ranging from hot to freezing conditions)
  • Located no more than 150 miles from either Lancaster or Reading, PA during the period of the internship

Preferred qualifications
  • Familiarity with Google Workspace
  • Interest in capturing photos, videos, and farmer stories for Pasa's communications

Compensation: $20 per hour. Includes paid job training, paid travel time, and mileage reimbursement.