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Machine Learning Engineer Biotech Jobs in Delaware

We work closely with engineering, product, design, data engineering, machine learning operations, and LLM engineering teams to translate complex AI research into production-ready features used by ...

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

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... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

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... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

New

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

New

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

New

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

New

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

New

Senior Manager, Statistical Modeling

Newark, DE · On-site

$85.10K - $104.60K/yr

Oversee the full model development and machine learning lifecycle: data collection, preprocessing, feature engineering, model development, deployment, and monitoring. * Collaborate with cross ...

Senior Manager, Statistical Modeling

Newark, DE · On-site

$85.10K - $104.60K/yr

Oversee the full model development and machine learning lifecycle: data collection, preprocessing, feature engineering, model development, deployment, and monitoring. * Collaborate with cross ...

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Machine Learning Engineer Biotech information

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer in Biotech, and why are they important?

To thrive as a Machine Learning Engineer in Biotech, you need a solid background in computer science, statistics, and biology, often with an advanced degree in a related field. Experience with programming languages such as Python or R, machine learning frameworks like TensorFlow or PyTorch, and familiarity with bioinformatics tools are typically required. Strong problem-solving, communication, and interdisciplinary collaboration skills set standout candidates apart. These capabilities are crucial for developing effective models that drive scientific innovation and advance biotechnological research.

How do Machine Learning Engineers in biotech typically collaborate with research scientists and domain experts?

Machine Learning Engineers in biotech often work closely with research scientists and domain experts to translate complex biological problems into data-driven solutions. This collaboration involves regular meetings to understand experimental data, refine project goals, and iterate on model development based on domain feedback. Engineers are expected to communicate technical concepts clearly, adapt models to fit scientific needs, and help validate results alongside laboratory teams. This interdisciplinary environment fosters innovation but also requires flexibility and strong communication skills.

What does a Machine Learning Engineer do in the biotech industry?

A Machine Learning Engineer in biotech applies advanced algorithms and data analysis techniques to solve biological and medical problems. They work with large datasets such as genomic sequences, medical images, or clinical records to develop predictive models, automate data analysis, and uncover insights that can accelerate drug discovery, diagnostics, and personalized medicine. Their work often involves close collaboration with biologists, data scientists, and software engineers to create tools and solutions that improve healthcare outcomes. Machine Learning Engineers in this field need a strong background in both computational methods and biological sciences.

What is the difference between Machine Learning Engineer Biotech vs Data Scientist Biotech?

AspectMachine Learning Engineer BiotechData Scientist Biotech
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related; knowledge of ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, coding, deploying algorithms in biotech R&DAnalyzes biological data, interprets results, creates reports
Employer & Industry UsageBiotech firms, pharma companies, research labsBiotech companies, healthcare, research institutions

While both roles work with biological data, Machine Learning Engineers focus on developing and deploying ML algorithms, whereas Data Scientists analyze and interpret biological datasets to inform research and decision-making in biotech settings.

What are popular job titles related to Machine Learning Engineer Biotech jobs in Delaware? For Machine Learning Engineer Biotech jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Biotech jobs in Delaware look for? The top searched job categories for Machine Learning Engineer Biotech jobs in Delaware are:
What cities in Delaware are hiring for Machine Learning Engineer Biotech jobs? Cities in Delaware with the most Machine Learning Engineer Biotech job openings:
Lead Software Engineer - Java Full Stack & AWS

Lead Software Engineer - Java Full Stack & AWS

JP Morgan Chase

Wilmington, DE • On-site

Full-time

Medical, Retirement

Posted 25 days ago


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 467 frontline employees who took The Breakroom Quiz

45th of 141 rated banks


Job description

Join a dynamic team at the forefront of machine learning-enabled digital assistance, where you'll help transform the call center agent experience through real-time guidance, workflow automation, and intelligent decision support. 

As a Lead Software Engineer (Vice President) at JPMorganChase within the Machine Learning and Intelligence Operations Virtual Agent Assist team, you'll be a core technical contributor on an agile team that enhances, builds, and delivers trusted, market-leading technology products in a secure, stable, and scalable way. You'll partner across product, design, and engineering to deliver critical solutions that support the firm's business objectives while raising the bar on reliability and developer excellence.

Job responsibilities

  • Design and deliver end-to-end full-stack features that improve agent workflows and customer outcomes using Java, Spring Boot, REST APIs, and modern user interface frameworks
  • Build secure, high-quality production services and user experiences, and apply sound engineering practices to ensure maintainability and performance
  • Lead technical design discussions and drive solution architecture across backend and frontend components, balancing speed, quality, and long-term scalability
  • Implement automation and proactive monitoring to reduce recurring issues and improve the operational stability and resiliency of the platform
  • Review code, provide actionable feedback, and raise engineering standards through testing discipline, design patterns, and continuous improvement
  • Partner with product managers, designers, data and machine learning partners, and other engineering teams to deliver solutions aligned to business needs
  • Evaluate third-party solutions and integration approaches, and make recommendations that fit enterprise architecture, security, and reliability expectations
  • Identify technical risks early, propose mitigation strategies, and communicate progress and trade-offs clearly to stakeholders

Required qualifications, capabilities and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • 5+ years of experience building and delivering full-stack web applications in enterprise environments
  • Advanced proficiency in Java and experience building services with Spring and RESTful application programming interfaces
  • Strong experience building modern web user interfaces using React and JavaScript/TypeScript
  • Experience designing distributed systems using messaging and caching technologies such as Kafka and Redis
  • Proficiency with SQL and hands-on experience with relational database design and development
  • Experience building delivery automation, including continuous integration and continuous delivery pipelines and infrastructure provisioning using Terraform
  • Strong testing discipline, including unit, integration, and automated testing using frameworks such as JUnit, Cucumber, Selenium, or Playwright
  • Demonstrated ability to lead technical delivery, influence design decisions, and collaborate effectively across teams

Preferred qualifications, capabilities and skills

  • Experience with micro-frontend architecture patterns and large-scale single-page application design
  • Experience building and operating cloud-based applications aligned to twelve-factor principles
  • Experience with Amazon Web Services, including ECS, S3, DynamoDB, RDS, and ElastiCache
  • Familiarity with Python and applied generative artificial intelligence patterns (for example, agent-based workflows)
  • Strong mentoring skills, including coaching engineers through design reviews, code reviews, and problem solving

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

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