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Bioinformatics Programmer Analyst Jobs in Ohio (NOW HIRING)

The Aeromedical Analytic Consultation Data Cell will provide operational medicine and human ... Document code per USAFSAM programming standards * Acquire and manage required data access ...

The Aeromedical Analytic Consultation Data Cell will provide operational medicine and human ... Document code per USAFSAM programming standards * Acquire and manage required data access ...

The Aeromedical Analytic Consultation Data Cell will provide operational medicine and human ... programming standardsAcquire and manage required data accessQualificationsMinimum Position ...

... science and engineering, occupational health and safety, medical professions, technicians ... The employee shall possess advanced analytical skills, to include visual analytics in population ...

... science and engineering, occupational health and safety, medical professions, technicians ... The employee shall possess advanced analytical skills, to include visual analytics in population ...

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Bioinformatics Programmer Analyst information

What is a bioinformatics programmer analyst?

A Bioinformatics Programmer Analyst is a professional who combines knowledge of biology, computer science, and statistics to manage, analyze, and interpret complex biological data, often using programming and software development skills. They typically work with large datasets such as genomic sequences, gene expression profiles, or proteomics data to derive meaningful insights for research or clinical applications. Their role often involves developing software tools, writing scripts for data analysis, and collaborating with biologists and other scientists to solve research problems. Bioinformatics Programmer Analysts are essential in fields like genomics, pharmaceutical research, and personalized medicine.

What are the key skills and qualifications needed to thrive as a bioinformatics programmer analyst?

To thrive as a Bioinformatics Programmer Analyst, you need strong programming skills (such as Python, R, or Perl), a background in biology or bioinformatics, and typically a bachelor's or master's degree in a relevant field. Familiarity with bioinformatics tools, databases (like NCBI, Ensembl), and experience using Linux environments and version control systems (like Git) are essential. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and collaborating with research teams. These competencies are vital for accurately analyzing biological data and delivering actionable insights in research or clinical settings.

What are some common challenges faced by bioinformatics programmer analysts when integrating new data types into existing pipelines?

Bioinformatics Programmer Analysts often encounter challenges such as data heterogeneity, inconsistent formats, and varying quality when integrating new data types into established analysis pipelines. Addressing these issues requires careful data preprocessing, validation, and sometimes developing custom scripts or modules to ensure compatibility. Collaboration with biologists and data scientists is essential to understand the context of the new data and to tailor solutions that maintain the reliability and reproducibility of results. Staying adaptable and up-to-date with evolving bioinformatics tools and standards also helps in overcoming these integration challenges.

What is the difference between Bioinformatics Programmer Analyst vs Bioinformatics Data Scientist?

AspectBioinformatics Programmer AnalystBioinformatics Data Scientist
Required CredentialsBachelor's in Bioinformatics, Computer Science, or related field; programming skillsBachelor's or Master's in Bioinformatics, Data Science, or related; strong statistical and programming skills
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch institutions, biotech firms, healthcare analytics
Employer & Industry UsageUsed in biotech, pharma, healthcare for data analysis and software development

The Bioinformatics Programmer Analyst primarily focuses on developing software tools and analyzing biological data using programming skills. In contrast, the Bioinformatics Data Scientist emphasizes statistical analysis and data modeling to interpret complex biological datasets. Both roles require strong programming knowledge and are common in biotech and healthcare industries, but their core responsibilities differ in software development versus data analysis.

What are popular job titles related to Bioinformatics Programmer Analyst jobs in Ohio?

For Bioinformatics Programmer Analyst jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Programmer Analyst jobs in Ohio look for?

The top searched job categories for Bioinformatics Programmer Analyst jobs in Ohio are:

What cities in Ohio are hiring for Bioinformatics Programmer Analyst jobs?

Cities in Ohio with the most Bioinformatics Programmer Analyst job openings:

Research Data Scientist III - DDI

Cleveland, OH • On-site

$128K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 4 days ago


Cleveland Clinic rating

7.2

Company rating: 7.2 out of 10

Based on 917 frontline employees who took The Breakroom Quiz


Job description

Join Cleveland Clinic's Main Campus where research and surgery are advanced, technology is leading-edge, patient care is world class and caregivers are family. Here, you will work alongside a passionate and dedicated team, receive endless support and appreciation, and build a rewarding career with one of the most respected healthcare organizations in the world.

As a Research Data Scientist in the DDI, you will apply advanced statistical, mathematical, and machine learning methodologies to develop algorithms and deliver high-impact data analytics that drive research insights and innovation. In this role, you will be part of the Data Analytics and Computational Science group and help build out the trauma research program by integrating data from multiple sources to improve accessibility, efficiency, and analysis. You will contribute to AI-focused projects and collaborate closely with multidisciplinary research teams while serving as a team lead, providing training, mentorship, and technical guidance to support the growth and effectiveness of fellow team members.

A caregiver in this role works Monday through Friday from 8:00 a.m. - 5:00 p.m. (flexible)

A caregiver who excels in this role will:

  • Utilize methods in the areas of Artificial Intelligence (AL), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP) to design and implement data solutions.

  • Build complexpredictive models, mix models, attribution models and other mathematical or statistical models as needed by using modeling tools.

  • Develop methods, novel algorithms and/or high-level data analysis that integrates implementation, visualization and database management of multi-dimensional clinical or biological datasets.

  • Serve as a team lead to the Principal Investigator, providing training, mentoring and instruction to other lab members in tools and data analysis.

  • Communicate and present research findings to Principal Investigator, greater research community and forums.

  • Other duties as assigned.

Minimum qualifications for the ideal future caregiver include:

  • M.S. or PhD in computer science/statistics/software engineering/bioinformatics or related field and three years of related experience, working with statistical modeling, machine learning or complex data analysis

  • OR Bachelor's degree and six years of related experience

  • OR Master's degree in related field and one year of related experience, working with statistical modeling, machine learning or complex data analysis

  • OR PhD in related field

  • Highly proficient with programing skills in languages such as SAS, SQL, SPSS, R, Python, MATLAB or similar

  • Excellent communication and presentation skills

Preferred qualifications for the ideal future caregiver include:

  • PhD or other advanced doctoral-level education

  • Experience working with healthcare data

  • Experience working with imaging, visual, or other complex data types

  • Collaborative, energetic approach, and enthusiasm for working as part of a multidisciplinary team

  • Excitement about helping build and grow a new research program by integrating diverse data sources to advance research, academic initiatives, and scientific publication

Physical Requirements:

  • Ability to perform work in a stationary position for extended periods

  • Ability to operate a computer and other office equipment

  • Ability to communicate and exchange accurate information

  • In some locations, ability to move up to 15 pounds

Personal Protective Equipment:

  • Follows standard precautions using personal protective equipment.

Pay Range

Minimum Annual Salary: $84,200.00

Maximum Annual Salary: $128,412.50

The pay range displayed on this job posting reflects the anticipated range for new hires. A successful candidate's actual compensation will be determined after taking factors into consideration such as the candidate's work history, experience, skill set and education. The pay range displayed does not include any applicable pay practices (e.g., shift differentials, overtime, etc.). The pay range does not include the value of Cleveland Clinic's benefits package (e.g., healthcare, dental and vision benefits, retirement savings account contributions, etc.).


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