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Bioinformatics Machine Learning Jobs in New Jersey

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Bioinformatics Machine Learning information

See New Jersey salary details

$60.4K

$95.9K

$151.8K

How much do bioinformatics machine learning jobs pay per year?

As of Aug 12, 2026, the average yearly pay for bioinformatics machine learning in New Jersey is $95,914.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,500.00 and $131,500.00 per year, depending on experience, location, and employer.

What is a bioinformatics machine learning?

A Bioinformatics Machine Learning job involves applying machine learning techniques to analyze and interpret biological data, such as genomics, proteomics, and medical records. Professionals in this field develop algorithms, build predictive models, and enhance data-driven research in areas like personalized medicine and drug discovery. They work with large datasets, applying deep learning, neural networks, and other AI methods to extract meaningful insights. The role requires expertise in biology, statistics, and programming languages like Python or R.

What are the typical daily responsibilities for someone in a bioinformatics machine learning position?

In a Bioinformatics Machine Learning role, your daily tasks usually involve developing and tuning machine learning models to analyze large biological datasets, such as genomics or proteomics data. You'll collaborate closely with researchers, biologists, and data scientists to understand project goals, interpret results, and refine analytical approaches. Routine work includes coding, troubleshooting algorithms, visualizing data outputs, and documenting findings for internal teams or publication. The role often requires balancing independent analysis with teamwork and regular communication across disciplines, making it both technically challenging and highly collaborative.

What are the key skills and qualifications needed to thrive in the bioinformatics machine learning position, and why are they important?

A successful Bioinformatics Machine Learning professional needs a solid background in biology, statistics, and computer science, often backed by an advanced degree such as a Master's or PhD in bioinformatics, data science, or a related field. Proficiency with programming languages like Python or R, experience with machine learning libraries (e.g., TensorFlow, scikit-learn), and knowledge of version control systems are typical requirements, and relevant certifications can be beneficial. Strong problem-solving abilities, effective communication skills, and the capacity to work collaboratively in interdisciplinary teams set candidates apart. These skills are crucial for designing robust computational models, interpreting complex biological data, and translating findings into actionable insights in research or clinical settings.

What are the most commonly searched types of Bioinformatics Machine Learning jobs in New Jersey? The most popular types of Bioinformatics Machine Learning jobs in New Jersey are:
What are popular job titles related to Bioinformatics Machine Learning jobs in New Jersey? For Bioinformatics Machine Learning jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Machine Learning jobs in New Jersey look for? The top searched job categories for Bioinformatics Machine Learning jobs in New Jersey are:
Infographic showing various Bioinformatics Machine Learning job openings in New Jersey as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $95,914 per year, or $46.1 per hour.

Laboratory Technician I, Sanger, M-F 11am-7:30pm EST

Azenta

South Plainfield, NJ • On-site

$16.50 - $20.50/hr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Azenta Life Sciences rating

7.5

Company rating: 7.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

64th of 120 rated laboratories


Job description

Azenta Inc.At Azenta, new ideas, new technologies and new ways of thinking are driving our future. Our customer focused culture encourages employees to embrace innovation and challenge the status quo with novel thinking and collaborative work relationships.
All we accomplish is grounded in our core values of Customer Focus, Achievement, Accountability, Teamwork, Employee Value and IntegrityJob TitleLaboratory Technician I, Sanger, M-F 11am-7:30pm ESTJob Description

Position Title: Laboratory Technician I, Sanger

Location: South Plainfield, NJ

Shift: M-F 11am-7:30pm EST

Intro

Company Overview

At GENEWIZ by Azenta, new ideas, new technologies and new ways of thinking are driving our future. Our customer-focused culture encourages employees to embrace innovation and challenge the status quo with novel thinking and collaborative work relationships.

As a global leader in R&D genomics services, GENEWIZ, leads the way in providing superior data quality with unparalleled technical support to enable researchers around the world to advance their scientific discoveries faster than ever before.

Our customers at top-tier pharmaceutical, biotechnology, and academic institutions, as well as cutting-edge start-ups, rely on our proprietary technologies for consistent, reliable, high-quality data, even on the most difficult projects. A full-service provider, we provides Sanger DNA sequencing, gene synthesis, molecular biology, high throughput/next generation sequencing, bioinformatics, and GLP regulatory services

How You'll Make an Impact
Our Lab Techs strictly adhere to laboratory SOPs to ensure quality and safety and often communicate with our customers via email. They understand our customers' needs with empathy and know that everything they do is making a difference.

This position may require the candidate to work overtime occasional and prolonged periods of standing.

The best at what they can be. They are proactive, detail oriented, able to meet tight deadlines, and strive in fast-paced work environments. They understand the big picture, while paying attention to the details. We even have a dedicated training program to ensure our Lab Techs are set up for success.

Responsbilities:

  • Adhere to safety protocols.

  • Strictly follows SOPs and site trainer's direction in training, sample handling, project processing, and documentation.

  • Maintains the cleanliness of work area.

  • Sort incoming samples.

  • Prepare sequencing template, including preparation, amplification and PCR purification.

  • Labware washing, biohazardous/hazardous waste collection and packaging.

  • Communicate with customers and other departments by email/phone in a friendly and professional manner.

  • Assist in purifying sequencing templates and load samples onto sequencing machines.

  • May need to work with automation platforms.

  • May require working overtime, and/or weekends. Alternative shifts with advanced notice.

If you're great at:

  • Paying attention to the details

  • Meeting deadlines and working under pressure

  • Learning and retaining new concepts quickly

  • Being an effective team-player committed to our goals

If you're awesome at:

  • Being flexible and can work Monday to Friday, onsite

  • Being open and adaptable to changes

  • Having fun while working to achieve goals

What you will need

  • High School Diploma required

  • AAS Degree or equivalent lab work experience preferred

  • 1+ years of lab work experience preferred

  • Excellent interpersonal skills; both verbal and written are essential

EOE M/F/Disabled/VET

If any applicant is unable to complete an application or respond to a job opening because of a disability, please email at Recruiting@azenta.com for assistance.

Azenta is an Equal Opportunity Employer. This company considers candidates regardless of race, color, age, religion, gender, sexual orientation, gender identity, national origin, disability or veteran status.

United States Base Compensation: $16.50 - $20.50

The posted pay range for this position is an estimate based on current market data and internal pay structure. Final compensation may vary above or below this range depending on factors such as experience, education (including licensure and certifications), qualifications, performance, and geographic location, among other relevant business or organizational needs.


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