Senior Data Scientist

2 tygodni temu

Kraków, Lesser Poland Ardigen S.A. Pełny etat

Ardigen enables AI transformation for biotech and pharmaceutical companies to leverage the full potential of data. The company delivers value at the intersection of biology and computational methods to increase the likelihood of success and accelerate the drug discovery process. With our platforms based on advanced algorithms and state-of-the-art technology, we help researchers to get scientific insights from a large amount of data, leading to new discoveries and breakthroughs in fields such as personalized medicine and drug development.

We are looking for a highly motivated and entrepreneurial person to join our multidisciplinary R&D team developing AI-based products and carrying our specialized, technology-based services for our biotech and pharma partners. We develop technology in the following areas and are thus particularly interested in individuals with experience with related methods:

Application of computer vision methods to high-content screening data

Application of language models and structural biology methods to analyze and optimize protein sequences of biologics (e.g. antibodies)

Development of deep representations of multi-omics data to better understand selected diseases

Application of AI in small molecule optimization and virtual screening

Application of NLP (and LLMs in particular) to develop AI assistants in the context of drug discovery

Key duties and responsibilities

Taking on roles related to technical leadership within teams working on the development and application of the technologies mentioned above

Acting as a reliable discussion/collaboration partner for our commercial and academic partners

Designing and applying methods based on machine learning and deep learning to solve various problems in drug discovery

Implementing and deploying machine learning models using Python (with frameworks such as PyTorch, TensorFlow, scikit-learn, and others)

Staying up to date with current research and methodology on applying machine learning and deep learning to life sciences

Providing guidance to junior colleagues

Requirements

  • MSc or PhD in computer science, mathematics, statistics, physics, cheminformatics, computational biology/chemistry, or a related field
  • At least 6 years of relevant work experience (in either commercial or academic setting)
  • Extensive hands-on experience in projects using methodology from various areas of data science: deep learning, machine learning, statistical learning, data mining, natural language processing, or big data solutions, as well as good understanding of the theory behind these methods
  • Extensive knowledge and intuition on statistical and machine learning methods and concepts (regression, classification, validation procedures, dimensionality reduction, clustering, feature selection, data mismatch, domain adaptation, etc.)
  • Strong programming skills in Python and good programming practices
  • Experience with deep learning frameworks (with a slight preference towards PyTorch)
  • Experience with distributed version control systems (Git or equivalent)
  • Eagerness to learn the domain context of the application of AI methods in Drug Discovery
  • Ability and willingness to pass knowledge to others and guide less experienced colleagues
  • Organizational and interpersonal skills
  • Excellent verbal and written communication skills, including the ability to summarize technically complex information for a non-technical audience
  • Proficiency in English (C1)

Proven ability to guide/inspire individuals and teams in designing innovative solutions to complex problems using modern Machine Learning methods

Research experience in a computational area such as data science, computer science, machine learning, artificial intelligence, cheminformatics with a publication track record

Domain-specific knowledge related to drug discovery (e.g. in biomedical imaging, genetics, small molecules, biologics, immunology)

Hands-on experience in projects spanning across disciplines (e.g. in an earlier collaboration with bioinformaticians, biostatisticians, cheminformaticians, immunologists, or structural biologists)

Experience with Docker, Kubernetes, MLFlow, or kubeflow

Experience in working with AWS or equivalent

We offer

  • An opportunity to shape breakthrough solutions in the fight against cancer
  • A permanent position that can be adjusted to your preferences in terms of employment form ("UoP"/B2B)
  • Hybrid working model or fully remote
  • Flexible working hours
  • Multisport Card, Private Healthcare (LuxMed), Life Insurance
  • A yearly discretionary bonus based on company's performance
  • Clearly defined career paths, funding for professional development, training, and conference attendance
  • Mentoring program
  • Internal library
  • Knowledge-sharing sessions, company events, meetups, webinars, activity groups (professional, sports, hobbies)
  • You can be a part of the #CodeAgainstCancer initiative and have a real impact on helping oncology patients
  • Work with world-class companies and institutions in the cutting-edge Life Science industry
  • Experts community of tech specialists, scientists, and people with a passion for their craft
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