Research Associate - Machine Learning (all genders)

at  Evotec

Göttingen, Niedersachsen, Germany -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate08 Jul, 2024Not Specified09 Apr, 20242 year(s) or aboveCommunication Skills,Pharmaceutical Industry,Linear Models,English,Bioinformatics,Drug Discovery,Python,Computer ScienceNoNo
Required Visa Status:
CitizenGC
US CitizenStudent Visa
H1BCPT
OPTH4 Spouse of H1B
GC Green Card
Employment Type:
Full TimePart Time
PermanentIndependent - 1099
Contract – W2C2H Independent
C2H W2Contract – Corp 2 Corp
Contract to Hire – Corp 2 Corp

Description:

At Evotec’s site in Goettingen, Germany, the Machine Learning team is seeking a highly motivated and dedicated
Research Associate - Machine Learning (all genders)
Full-time and permanent
Hybrid working possible
At Evotec, we use supervised ML algorithms and other AI approaches to make use of our vast biomedical datasets. Our aim is to tackle yet unsolved challenges in early drug discovery. Join our steadily growing machine learning team to make a difference in pharmaceutical research for patients.

Your key responsibilities:

  • Contribute to ML solutions that elucidate causes of diseases and thus help to make better diagnoses for patients and enable the development of novel drugs
  • Prepare ML-ready data sets from a rich source of omics data, patient data, and chemical information
  • Deliver reliable and efficient Python code
  • Provide guidance in your area of expertise to other team members
  • Collaborate with colleagues from the bioinformatics team, medical experts, wet lab and computational scientists
  • Communicate and present results internally and externally

Your ideal qualifications:

  • Master’s degree with at least two years of relevant professional experience or a PhD in computer science, bioinformatics, or in a related STEM field
  • A few years of solid experience with machine learning concepts and their real-world application (e.g. linear and non-linear models, hyperparameter search, model assessment and interpretation)
  • Strong programming skills in Python (scikit-learn, pandas, pytorch, optuna)
  • Professional experience in the biotech or pharmaceutical industry is a plus
  • Basic life science knowledge, familiarity with omics data or drug discovery is a strong plus
  • Familiarity with the version control system git
  • Ideally, experience in working with Linux and HPC systems (e.g. SLURM)
  • Capability to organize your work efficiently and meet deadlines
  • Good communication skills with the ability to interact professionally with all levels of staff, collaborators, and customers
  • Ability to work in interdisciplinary teams
  • Fluency in English

Our offer:

  • A position within a vigorous and exciting professional environment promoted by an open culture and a spirit of community
  • A diverse, international workforce with a dynamic working environment that fosters creativity, innovations and teamwork
  • 30 days of annual holiday, capital forming benefits, flexible working hours, holiday pay, annual variable bonus payment, and in-house canteen

To apply, please click on the “Apply” button and provide your application documents (CV, certificates and cover letter, including earliest possible start date and salary requirements). We are looking forward to get to know you and to your application.
FR : Dans le cadre de sa politique Diversité, Evotec étudie, à compétences égales, toutes les candidatures dont celles des personnes en situation de handicap.
ENG : In the frame of our Diversity policy, Evotec considers, with equal competences, all applications including people with disabilities.

Responsibilities:

  • Contribute to ML solutions that elucidate causes of diseases and thus help to make better diagnoses for patients and enable the development of novel drugs
  • Prepare ML-ready data sets from a rich source of omics data, patient data, and chemical information
  • Deliver reliable and efficient Python code
  • Provide guidance in your area of expertise to other team members
  • Collaborate with colleagues from the bioinformatics team, medical experts, wet lab and computational scientists
  • Communicate and present results internally and externall


REQUIREMENT SUMMARY

Min:2.0Max:7.0 year(s)

Information Technology/IT

IT Software - Application Programming / Maintenance

Software Engineering

Graduate

A related stem field

Proficient

1

Göttingen, Germany