20 beste Stellen als programming no experience in berlin, be – aktuell auf Personalsuche

Principal Machine Learning Scientist (all genders)
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- 104.300 € – 126.500 € pro Jahr
- Teilzeit
- Doktorat
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adsquare GmbH —Berlin
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programming no experience jobs near berlin, be

Principal Machine Learning Scientist (all genders)

Bayer -
Berlin

Jetzt bewerben

Details zur Stelle

Teilzeit | Vollzeit
104.300 € – 126.500 € pro Jahr

Leistungen

Betriebsarzt/Betriebsärztin

Qualifikationen

Biologie
Doktorat
Machine Learning
Künstliche Intelligenz
Python

Vollständige Stellenbeschreibung

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

Principal Machine Learning Scientist (all genders)

YOUR TASKS AND RESPONSIBILITIES

You lead the development, evaluation, and application of machine learning algorithms and workflows for the characterization and design of biomolecules to accelerate drug discovery
You identify opportunities for accelerating ongoing drug discovery projects with internal and external AI capabilities
You communicate, educate, and engage with a broad set of stakeholders (chemists, biologists, computational/data scientists, R&D leadership, consortia partners, and the broader scientific community) on the state of technology and the progress of key internal initiatives
You keep up to date with the latest advances in computational modeling of biomolecular structure, physics, interactions, and function

WHO YOU ARE

You hold a PhD degree in computational chemistry/biology, chem/bioinformatics, chemical/biological/molecular engineering, or a related field at the intersection of life sciences and computer sciences
You have multiple years of relevant post-PhD experience, including professional experience in industry
You have expertise with state-of-the-art machine learning methods to model biomolecules, for example sequence-to-function models, protein language models, co-folding, inverse folding or steerable generative methods
You have experience with ML-based workflows towards characterization of biomolecular interactions, assessment of druggability, candidate screening, or design and optimization of therapeutics and delivery systems.
You are experienced in handling, processing, integrating and analyzing large datasets related to drug development research, including sequence, omics, biochemical, biophysical, and structural biology data
Expertise in modern bioinformatics tools (e.g., mmseqs, foldseek) is part of your profile
You have strong Python programming skills including the scientific stack (e.g. pytorch, pandas, scikit-learn), and experience in collaborative software engineering according to good practices
You have a strong commitment to scientific rigor, a proven track record of scientific achievement, excellent analytical thinking skills, and a high level of self-motivation
Excellent written and verbal communication skill in English round off your profile

WHAT WE OFFER

Our benefits package is flexible, appreciative, and tailored to your lifestyle, because: What matters to you, matters to us!

We ensure your financial stability with a competitive salary between 104.300€ and 126.500€ per year (full-time) plus a variable component. Your compensation is based on your qualifications, skills, and professional experience.
Whether it’s hybrid work models or part-time arrangements: Whenever it is possible, you will have the flexibility to work how, when and where it is best for you.
Your family is a top priority. We offer loving company daycare centers at multiple locations, support in finding childcare, time off for the care of elderly or dependent family members, summer camps for children, and much more.
We support your professional growth by providing access to learning and development opportunities, training programs through the Bayer Learning Academy, development dialogues, as well as coaching and mentoring programs.
We promote health awareness and opportunities for selfcare through various measures, such as free health checks with the company doctor.
We embrace diversity by providing an inclusive work environment in which you are welcomed, supported, and encouraged to bring your whole self to work.

YOUR APPLICATION

This is your opportunity to tackle the world’s biggest challenges with us: Maintaining our health, feeding growing populations and slowing the rate of climate change. You have a voice, ideas and perspectives and we want to hear them. Because our success begins with you. Be part of something big. Be Bayer.

Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.

Location: Berlin

Division: Pharmaceuticals

Reference Code: 865474

Jetzt bewerben

Erweiterte Suche

programming no experience Jobs in berlin, be

Principal Machine Learning Scientist (all genders)

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Application Security Engineer (m/f/d) in Konstanz or Berlin

Senior Front End Engineer (all genders)

Senior Machine Learning Engineer (AI focused) - (Logistics, Data & ML)

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Technical Team Lead, Contract

Senior Product Engineer (Full Stack)

Staff Data Analytics Engineer (m/f/d)

(Senior) Engineering Manager - Advisor Audit

FPGA Design Engineer (m/f/d)

Senior Product Engineer

(Senior) Backend Engineer (m/f/d) - Golang

Ich möchte aktuelle Job-E-Mails für Stellen als programming no experience in berlin, be erhalten

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