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Remote Bioinformatics Machine Learning Jobs in Deatsville, AL

DISHER

Vision Engineer

Montgomery, AL · Remote

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

DISHER

Vision Engineer

Montgomery, AL · Remote

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

All JobsBioinformatics Machine Learning JobsRemote Bioinformatics Machine Learning JobsRemote Bioinformatics Machine Learning Jobs in Deatsville, AL

Remote Bioinformatics Machine Learning information

See Deatsville, AL salary details

$58.7K

$93.2K

$147.4K

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

As of Aug 29, 2026, the average yearly pay for remote bioinformatics machine learning in Deatsville, AL is $93,173.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,600.00 and $127,700.00 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 Deatsville, AL are hiring for Remote Bioinformatics Machine Learning jobs?

Cities near Deatsville, AL with the most Remote Bioinformatics Machine Learning job openings:

Remote Bioinformatics Machine Learning jobs near you

Vision Engineer

Montgomery, AL • Remote

DISHER
Industrial Machinery Manufacturing • 51 - 200 employees
Learn more about DISHERexternal

Full-time

Re-posted 11 days ago

Job description

Vision Engineer – Remote / Travel
 
DISHER is currently partnering with a world leading automation company that specializes in groundbreaking technologies for flawlessly manufacturing millions of products. They have been awarded year after year as a great place to work and one of the "World's Most Admired Companies".
 
What it's like to work here:
Their team is the secret to their success. They are empowered, inventive, and inclusive. This company champions their teams, foster collaborations, inclusion, respect, and excellence. Working with this company, you will drive innovation with new advancements in industry. You will have opportunity for future training to broaden skills and be a part of a team of experts to drive solutions that improve efficiencies, safety, and quality. You will work with multiple assembly plants and integrator. If you are passionate about your craft and are driven to succeed, this could be the place for you!
What you will get to do:
  • Design and develop all aspects of vision control systems, equipment, and programming using high standards and build upon with innovative ideas.
  • Write, implement, and debug PLC software.
  • Provide support to existing vision equipment globally.
  • Follow health, safety, environmental regulations, and safety protocols, (LOTO).
  • Build mutual trust, respect, and cooperation among all team members.
  • Communicate across cross-functional groups.
  • Be responsible for projects from technical specification to startup support.
  • Develop contingency and disaster recovery plans.
  • Create training documentation.
What will make you successful:
  • Three years of experience in a controls/vision engineering role.
  • Must be a self-starter, team player, work well with others, and have a positive attitude.
  • Must be a creative thinker, results oriented, focused, and attentive to detail and accuracy.
  • Proficient in RSLogix5000, Studio5000, and FactoryTalk View Studio.
  • Knowledgeable of Keyence & Cognex cameras.
  • Must have ability to prioritize, multi-task and meet deadlines.
  • C+ or C++ Programming capabilities.
  • Knowledge on machine learning with AI capabilities.
  • Self-driven and willingness to work long hours during installations, if required.
  • Willingness to travel globally – up to 30-50%.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.