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Remote Bioinformatics Machine Learning Jobs in Rhode Island

NinjaOne

Senior Data Software Engineer

NC · On-site +1

$123.10K - $162.30K/yr

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... pipelines and machine learning models. o Understanding of Generative AI and Deep Learning ...

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Remote Bioinformatics Machine Learning information

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

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 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 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 the most commonly searched types of Bioinformatics Machine Learning jobs in Rhode Island? The most popular types of Bioinformatics Machine Learning jobs in Rhode Island are:
What are popular job titles related to Remote Bioinformatics Machine Learning jobs in Rhode Island? For Remote Bioinformatics Machine Learning jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Remote Bioinformatics Machine Learning jobs in Rhode Island look for? The top searched job categories for Remote Bioinformatics Machine Learning jobs in Rhode Island are:
What cities in Rhode Island are hiring for Remote Bioinformatics Machine Learning jobs? Cities in Rhode Island with the most Remote Bioinformatics Machine Learning job openings:
Remote Bioinformatics Machine Learning jobs near you
Senior Data Software Engineer

Senior Data Software Engineer

NinjaOne

On-site, Remote

$123.10K - $162.30K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Job description

About the Role

At NinjaOne, we’re looking for a skilled Senior Data Engineer to join our team and help drive the future of our data infrastructure. You’ll play a critical role in building, maintaining, and scaling our systems to ensure smooth data flow, accuracy, and security across the organization. This is an exciting opportunity to work on innovative projects, collaborate with cross-functional teams, and help shape how we leverage data to fuel growth, optimize products, and drive business decisions.

Location - We are flexible on remote working from home, if you are located in the USA and reside in one of the following states - CA, CO, CT, FL, GA, *IL, KS, MA, MD, ME, NJ, NC, NY, OR, TN, TX, VA, and WA. We have physical offices in Austin, TX and Tampa, FL, if you prefer a hybrid option.

We hire the best software engineers, but experience in our stack can’t hurt: NinjaOne is built on Java, Kotlin, C++, Golang and Postgres; supporting millions of user endpoints and running as a scalable cloud service in AWS.  Knowing large-scale datastore bottlenecks, asynchronous application design and client-server architecture will help you.

What You’ll be Doing

  • Data Pipeline Development: Design and implement scalable data pipelines that move and transform large volumes of data from multiple sources to central data warehouses, transforming data to enable business reporting and advanced analytics.
  • Database Management: Manage and optimize the performance of relational databases, ensuring data availability, reliability, and consistency.
  • Automation & Optimization: Automate and optimize data workflows to reduce manual processes and improve efficiency in data collection, storage, and processing.
  • Monitoring & Maintenance: Ensure the integrity and security of data across systems, monitor performance, and troubleshoot any issues that arise within the data pipeline.
  • Data Visualization: Build dashboards and reports in Tableau and Databricks to expose key data points and trends to business stakeholders.
  • Collaboration: Work closely with data scientists, analysts, and other teams to gather requirements, understand data needs, and provide solutions that support data-driven decision-making.
  • Other duties as needed.

About You

  • Bachelor’s degree in Computer Science, Computer Engineering, Information Technology or equivalent work experience preferred.  
  • 10+ years of experience in software development, with a strong focus on data engineering and data science.
  • Experience in building data pipelines and managing large-scale data systems using technologies like SQL and Python.
  • Expertise in Python.  
  • Experience in cloud platforms like AWS, GCP, or Azure, and experience with tools like Airflow, Kafka or dbt for orchestrating data workflows.
  • Mastery with both relational databases including MySQL, PostgreSQL and NoSQL databases like MongoDB, Cassandra.
  • Experience with data warehousing concepts and tools such as Redshift, BigQuery, Snowflake.
  • Solid understanding of Microservices Architecture and DevOps principles.
  • Experience that will make you a standout candidate: 
    o    Previous experience working with large-scale data pipelines and machine learning models. 
    o    Understanding of Generative AI and Deep Learning frameworks.

About Us 

NinjaOne automates the hardest parts of IT to deliver visibility, security, and control over all endpoints for more than 30,000 customers. The NinjaOne automated endpoint management platform is proven to increase productivity, reduce security risk, and lower costs for IT teams and managed service providers. NinjaOne is obsessed with customer success and provides free and unlimited onboarding, training, and support. NinjaOne is #1 on G2 in endpoint management, patch management, remote monitoring and management, and mobile device management.

What You’ll Love 

We are a collaborative, kind, and curious community. 

We honor your flexibility needs with full-time work that is hybrid remote.

We have you covered with our comprehensive benefits package, which includes medical, dental, and vision insurance.

We help you prepare for your financial future with our 401(k) plan.

We prioritize your work-life balance with our unlimited PTO.

We reward your work with opportunity for growth and advancement.

Additional Information

This position is NOT eligible for Visa sponsorship. Due to federal government security requirements associated with our FedRAMP-authorized environment, candidates must be U.S. citizens or lawful permanent residents.

*Due to operational policies, NinjaOne is unable to hire for this role within the city limits of Chicago. We will consider all qualified candidates who reside outside of the city proper or are willing to self-relocate.

Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to location, market demands, experience, job-related knowledge, and skills. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage and PTO.  For roles based in California, Colorado, Maryland, New Jersey, or Washington the base salary hiring range for this position is $110,000 to $200,000 per year.

For roles based in New York, the base salary hiring range for this position is $110,000 to $200,000 per year.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, veteran status, or any other status protected by applicable law. We are committed to providing an inclusive and diverse work environment.

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