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Bioinformatics Associate Jobs in Elizabeth, NJ (NOW HIRING)

Position Details Position Information Recruitment/Posting Title Postdoctoral Associate Department ... bioinformatics tools for genetics and neuroscience research. Preferred Qualifications This role ...

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Bioinformatics Associate information

See Elizabeth, NJ salary details

$49.3K

$204.8K

$402.6K

How much do bioinformatics associate jobs pay per year?

As of Aug 10, 2026, the average yearly pay for bioinformatics associate in Elizabeth, NJ is $204,775.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,000.00 and $402,600.00 per year, depending on experience, location, and employer.

What does a Bioinformatics Associate do?

The role of a bioinformatics associate is to perform detailed data analysis in a biology or life sciences research lab. An associate is a staff scientist or researcher, and they have significant responsibilities within the lab structure. They are responsible for conducting information support using primary research as well as developing models using a data algorithm or other analytical tools. A bioinformatics associate uses these to analyze the information and data sets collected in the lab. They may also develop a storage and archiving system so that other researchers can access data sets. Qualifications to become a bioinformatics associate typically include a master’s degree or Ph.D.

What does a Bioinformatics Associate do?

A Bioinformatics Associate is responsible for analyzing and interpreting complex biological data, often using computational tools and software. They work closely with scientists to manage and process large datasets, such as genomic sequences or protein structures. Their tasks may include developing workflows, running bioinformatics pipelines, and helping to visualize and present results. Typically, they support research projects in fields like genomics, molecular biology, and drug development. Bioinformatics Associates play a key role in translating raw biological data into actionable scientific insights.

How does a Bioinformatics Associate typically collaborate with laboratory scientists and data analysts on research projects?

Bioinformatics Associates often serve as a bridge between laboratory scientists and data analysts, translating experimental requirements into computational workflows and helping to interpret complex biological data. They regularly meet with lab teams to discuss project goals, data quality, and analysis strategies, ensuring that bioinformatics approaches align with experimental designs. Collaboration is highly iterative, involving feedback loops to refine analyses based on preliminary findings and to troubleshoot data issues, which helps drive research projects forward efficiently and accurately.

What are the key skills and qualifications needed to thrive as a Bioinformatics Associate?

A Bioinformatics Associate requires a strong background in biology, computer science, and statistics, typically supported by a relevant bachelor's or master's degree. Familiarity with bioinformatics tools such as BLAST, Python, R, and experience with genomic databases are commonly expected, along with knowledge of data visualization platforms. Critical thinking, attention to detail, and effective communication help professionals interpret complex data and collaborate with scientific teams. These skills ensure accurate analysis, meaningful insights, and successful contributions to research projects in a rapidly evolving field.
What are the most commonly searched types of Bioinformatics jobs in Elizabeth, NJ? The most popular types of Bioinformatics jobs in Elizabeth, NJ are:
What are popular job titles related to Bioinformatics Associate jobs in Elizabeth, NJ? For Bioinformatics Associate jobs in Elizabeth, NJ, the most frequently searched job titles are:
What cities near Elizabeth, NJ are hiring for Bioinformatics Associate jobs? Cities near Elizabeth, NJ with the most Bioinformatics Associate job openings:
Infographic showing various Bioinformatics Associate job openings in Elizabeth, NJ as of August 2026, with employment types broken down into 92% Full Time, and 8% Temporary. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $204,775 per year, or $98.4 per hour.

Associate Researcher I-Center for Advanced Circuit Therapeutics (C-ACT)

Mount Sinai Health System

Manhattan, NY • On-site

Full-time

Posted 6 days ago


Mount Sinai rating

7.7

Company rating: 7.7 out of 10

Based on 294 frontline employees who took The Breakroom Quiz

158th of 887 rated healthcare providers


Job description

The Center for Advanced Circuit Therapeutics (C-ACT) at The Icahn School of Medicine at Mount Sinai is seeking an Associate Researcher to perform quantitative analyses of structural, diffusion, and functional brain images. Specific projects include preprocessing of resting state functional MRI and diffusion-weighted images, functional and structural connectivity analyses, and image segmentation and quantitative volumetric. Projects involve the development and implementation of treatment selection biomarkers, individualized multimodal surgical targeting methods, and longitudinal outcome metrics across a wide range of neuropsychiatric disorders, including Depression, OCD, Movement disorders, and Epilepsy. This is an excellent opportunity to participate in cutting-edge imaging research as a member of a multidisciplinary research team of technical and clinical experts with access to state-of-the-art imaging equipment.

This individual will be jointly supervised by Dr. Ki Sueng Choi, imaging leader at C-ACT, and Dr. Helen Mayberg, Director of C-ACT, and will have the opportunity to interact with a diverse team of investigators with complementary expertise in neuroimaging, psychiatry, neurology, neurosurgery, neuroengineering, computational neuroscience, and bioinformatics.  

The Center for Advanced Circuit Therapeutics (C-ACT) is a new centralized research unit, embedded within the Clinical Center for Neuromodulation, Mount Sinai West. The Center supports research activities using imaging, invasive and noninvasive electrophysiology, performance and behavioral metrics, computational modeling, and clinical and research bioinformatics involving surgical neuromodulation patients. This core facility will enable development and testing of new brain-tuning strategies to accelerate the delivery of state-of-the art individualized care for patients with advanced neuropsychiatric disorders-be it those where brain stimulation therapies are already clinically available, such as Parkinson's disease and epilepsy, or more experimental applications such as depression, OCD, eating disorders, and addiction. Development and testing of next-generation implantable devices, computation-based algorithms for treatment delivery, and clinical piloting of novel applications will complement ongoing evidence-based care for established uses of DBS and other neuromodulation strategies. 

C-ACT is located at Mount Sinai West, Midtown West Side in New York City. 

Strength through Unity and Inclusion

The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai's unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.

At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.

About the Mount Sinai Health System:

Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time - discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients' medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report's "Best Children's Hospitals" ranks Mount Sinai Kravis Children's Hospital among the country's best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek's "The World's Best Smart Hospitals" ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.

Equal Opportunity Employer

The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

  • Bachelors or Masters degree in science or related field required

The candidate should have a bachelor's degree in computer science, Engineering, Neuroscience, or a related field, with a focus on medical image analysis in neuroimaging. Candidates with experience coding in shell script and/or use of JAVA, Python, and image processing software packages (Afni, FLS, SPM, etc.)

Compensation Statement

The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $58,661.00 - $76,954.05 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

Non-Bargaining Unit, IDE - Radiology BMEII - ISM, Icahn School of Medicine, Radiology

  • Data quality control and archiving/use of the database server
  • Multidisciplinary imaging data (MRI, CT, and PET) collection, preprocessing, and implementation of analytic and statistical methods using existing image analysis software packages 
  • Running automated imaging pipelines for testing predefined imaging biomarkers in clinical practice 
  • Real-time imaging data processing in the operating room for DBS surgical targeting applications
  • Statistical analysis of multimodal imaging data for surgical targeting and parameter optimization for deep brain stimulation of neurological and psychiatric disorders.

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