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Remote Bioinformatics Machine Learning Jobs in Acworth, GA

TechStarsGroup LLC

Senior Platform Engineer

Atlanta, GA · Remote

$100K - $138K/yr

Senior Platform Engineer - REMOTE Our client is at the forefront of applying machine learning research to transform the way medical conversations are understood and utilized. **The Role** We are in ...

Dlapiper

Data Scientist

Atlanta, GA · On-site +1

A specialization in machine-learning, artificial intelligence, cognitive science or data science is ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Booz Allen Hamilton, Inc.

Data Scientist

Atlanta, GA · On-site +1

$99K - $225K/yr

Experience with Machine Learning, AI, or NLP * Experience with visualization packages, including ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

micro1 AI

AI Trainer - Microbiology Expert

Atlanta, GA · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · Remote

$117K - $140K/yr

... and machine learning models. What We Are Looking For: We are seeking an experienced and highly ... Flexible work environment and remote work options. Join us and be part of a team building ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

... and machine learning models. What We Are Looking For: We are seeking an experienced and highly ... Flexible work environment and remote work options. Join us and be part of a team building ...

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All JobsBioinformatics Machine Learning JobsRemote Bioinformatics Machine Learning JobsRemote Bioinformatics Machine Learning Jobs in Acworth, GA

Remote Bioinformatics Machine Learning information

See Acworth, GA salary details

$53.1K

$84.3K

$133.5K

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

As of Sep 10, 2026, the average yearly pay for remote bioinformatics machine learning in Acworth, GA is $84,332.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,300.00 and $115,600.00 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 are popular job titles related to Remote Bioinformatics Machine Learning jobs in Acworth, GA?

For Remote Bioinformatics Machine Learning jobs in Acworth, GA, the most frequently searched job titles are:

What cities near Acworth, GA are hiring for Remote Bioinformatics Machine Learning jobs?

Cities near Acworth, GA with the most Remote Bioinformatics Machine Learning job openings:

Remote Bioinformatics Machine Learning jobs near you
Infographic showing various Remote Bioinformatics Machine Learning job openings in Acworth, GA 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 $84,332 per year, or $40.5 per hour.

Senior Platform Engineer

Atlanta, GA • Remote

TechStarsGroup LLC
See more jobs at TechStarsGroup LLCexternal

$100K - $138K/yr

Full-time

Re-posted 12 days ago

Job description

Senior Platform Engineer - REMOTE

Our client is at the forefront of applying machine learning research to transform the way medical conversations are understood and utilized.

**The Role**

We are in search of a platform engineer to join our team in enhancing, securing, and scaling our cutting-edge natural language understanding platforms. In this role, you will collaborate closely with both application developers and machine learning specialists to design and implement services using terraform and Google Cloud Platform (GCP). Additionally, you will play a key role in establishing and securing integrations with our clients and partners. As part of our compact and cooperative team, your contributions will significantly influence our operational methodologies.

**What You'll Do**

- Work in tandem with application engineers to develop and maintain robust, efficient, and secure infrastructure for our mobile and web applications.

- Forge secure connections between our platform and healthcare systems in collaboration with engineers and clients.

- Empower application teams with the tools and processes necessary for monitoring performance, availability, and reliability, fostering a culture of ownership.

- Seek out and spearhead initiatives to enhance engineering productivity through innovative tooling and streamlined processes.

- Oversee CI/CD pipelines and manage other critical components of our cloud-based development infrastructure.

- Champion and implement security best practices within the organization.

- Produce and update clear, relevant, and precise documentation.

**What You'll Bring**

- Over 5 years of software engineering background, with at least 3 years dedicated to infrastructure-as-code practices within a cloud-centric organization.

- Proficiency in managing Kubernetes clusters, including the creation and upkeep of helm charts for deploying applications.

- Expertise in developing and maintaining CI/CD pipelines for both infrastructure and application code deployments (e.g., Terragrunt, Atlas, ArgoCD, Octopus Deploy, Travis CI).

- Comfortable with implementing and securing services on Google Cloud Platform as Infrastructure as code, including managing GCP Projects, VPC Networks, Google Kubernetes Engine, and IAM Roles, Groups, and policies.

- Skilled in backend scripting languages (e.g., Python, GoLang, JavaScript, Rust, Bash).

- Always up-to-date with industry best practices and tools, with a keen interest in learning new technologies.

- Enthusiastic about contributing actively in a dynamic, productive, and supportive team environment.

- Ready to assist across various tasks, embracing the fast-paced nature of a growing startup.

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