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AI/ML Engineer - Phenomics Job Opening In Heidelberg – Now Hiring GSK


Job description

At GSK we see a world in which advanced applications of machine learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer side effects.

It is an ambitious vision that will require the development of products and solutions at the cutting edge of machine learning and AI.

If that excites you, we'd love to chat.

To help us make this future a reality, we are looking for AI/ML Engineers with a track record in developing and validating state-of-the-art machine learning models for solving challenging real-world scientific problems.

AI/ML Engineers at GSK are outstanding scientists and engineers with in-depth knowledge in modern machine learning and a keen interest in making a positive impact in healthcare.

You will be joining the AI/ML Phenomics Team to apply cutting-edge machine learning and AI methodologies to generate insights from multi-modal high-content data modalities.

This ranges from spatial transcriptomics of proprietary patient cohorts to high-dimensional imaging and multi-omics readouts of high-throughput genetic and chemical perturbation screens in in vitro cellular systems.

As an AI/ML Engineer in this role, you will:

  • Carry out product-driven research on novel machine learning methods to analyze terabytes of internal multi-modal high-content data.
  • Design approaches to deconvolve real biological signals from confounding effects that are inherent in high-throughput biological data.
  • Leverage internal high performance computing cluster and cloud compute to train and productionize our models at scale.
  • Work closely with domain experts on cross-disciplinary teams to generate actionable insights that impact target identification, hit identification, and safety testing.
  • Contribute to our developing codebase with well-tested, production-ready code.

Competitive candidates will have in-depth knowledge of machine learning with a track record of developing deep learning models for solving challenging real world scientific problems.

They should be comfortable with writing quality, well-documented, and well-tested code in the AI/ML space and operate in an agile environment.

Why you?

Basic Qualifications:

We are looking for professionals with these required skills:

  • PhD or master's in computer science, engineering, applied mathematics, machine learning, or equivalent practical experience.
  • 2 + year experiences in cell imaging is required for master degree holder.
  • 2+ years of experience in machine learning and software engineering best practices.
  • 2+ years of experience with working in a collaborative CI/CD software development environment, including use of git.
  • 2+ years of experience with developing, implementing, and training deep learning models with PyTorch, Tensorflow, or other deep learning frameworks.

Preferred Qualifications:

If you have the following characteristics, it would be a plus:

  • Experience working with high-content imaging and diverse multi-omics
  • Knowledge in disease biology, molecular biology, and biochemistry.
  • Track record of writing software in a team in industrial environments or open-source projects.
  • Track record of projects or peer-reviewed publications at the intersection of machine learning and life sciences
  • Mentality of commit early and often, metrics before models, and shipping high quality production code.

#LI-GSK

The US annual base salary for new hires in this position ranges from $136,125 to $226,875 The US salary ranges take into account a number of factors including work location within the US market, the candidate’s skills, experience, education level and the market rate for the role.

In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role.

Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave.

If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process.

Please visit to learn more about the comprehensive benefits program GSK offers US employees.

Why GSK?Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together.

We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive.

We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines.

We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.

People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most.

Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US).

GSK is an Equal Opportunity Employer.

This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.

Important notice to Employment businesses/ Agencies

GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site.

All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK.

The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK.

In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK.

GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.

Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment.

This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements.

For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your AI ML Potential: Insight & Career Growth Guide


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Are You Looking for AI/ML Engineer Phenomics Job?

Great news! is currently hiring and seeking a AI/ML Engineer Phenomics to join their team. Feel free to download the job details.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at GSK adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Germany laws and regulations

What Is the Average Salary Range for AI/ML Engineer Phenomics Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Heidelberg. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for AI/ML Engineer Phenomics?

Key qualifications for AI/ML Engineer Phenomics typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for AI/ML Engineer Phenomics?

To improve your chances of getting hired for AI/ML Engineer Phenomics, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for AI/ML Engineer Phenomics Job Success

GSK interview tips for AI/ML Engineer   Phenomics

Here are some tips to help you prepare for and ace your AI/ML Engineer Phenomics job interview:

Before the Interview:

Research: Learn about the GSK's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your AI/ML Engineer Phenomics interview at GSK, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the GSK's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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