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Senior Scientist - Structural Biology and Data Science (m/w/d)

smartbax

München

Vor Ort

Vertraulich

Vollzeit

Gestern
Sei unter den ersten Bewerbenden

Zusammenfassung

A leading biotechnological start-up in Munich is seeking a Senior Scientist (PhD) to develop innovative antibiotic therapies. Responsibilities include structure-guided optimization of antibiotic candidates and implementing AI approaches for data analysis. Candidates must hold a PhD in structural biology or a related field, with strong computational skills. Join a dynamic team and make a real impact in the fight against antimicrobial resistance.

Leistungen

Monthly vouchers for personal use
Flexible start and end times
Brand-new lab and office spaces

Qualifikationen

  • PhD in structural biology, computational chemistry or related subjects.
  • Experience in working with proteins and analysing small molecule-protein interactions.
  • Strong computational and programming skills, including docking and molecular dynamics.

Aufgaben

  • Structure-guided optimisation of small molecule antibiotic candidates.
  • Coordination with CROs.
  • Implementation of AI and machine learning approaches for data analysis.

Kenntnisse

Structural biology
Data science
Computational skills
Machine learning
Creative thinking

Ausbildung

PhD in structural biology or related fields

Tools

Molecular modelling software

Jobbeschreibung

At smartbax, we aim to introduce the next generation of antibiotics**.** We develop novel antibacterial compounds with extraordinary potency against multi-drug resistant bacteria and hijack bacterial pathways that no other drug has touched before. As a start-up in Munich’s vibrant biotech scene, we offer an environment where your work makes a real difference. Help us pioneer new therapies that will save lives.

We are looking for a Senior Scientist (PhD) with expertise in structural biology and data science, full-time, starting immediately, to join our growing team.

Tasks
  • Structure-guided optimisation of small molecule antibiotic candidates through both in silico and experimental analyses
  • Docking and molecular modelling studies to inform medicinal chemistry decision making
  • Co-crystallization experiments with test compounds and target enzymes
  • Coordination with CROs
  • Implementation of AI and machine learning approaches for data analysis, compound design and property prediction
  • Data evaluation, visualisation and presentation towards the team, shareholders and investors
  • Creative and critical thinking in solving scientific problems
Requirements
  • PhD in structural biology, computational chemistry or related subjects
  • Experience in working with proteins and analysing small molecule-protein interactions
  • Strong computational and programming skills, including docking, molecular dynamics, machine learning and AI
  • Additional expertise in handling S2 bacteria is considered a plus
  • Self-organised, enjoys working in small teams
  • Creative, fast-thinking and decisive mind who likes tackling challenges
  • Proficient in written and spoken English; German skills are a plus
Benefits
  • Purpose: Contribute to the fight against antimicrobial resistance, one of the greatest healthcare challenges of our time
  • Freedom and agility: Flat hierarchy, fast decision making, and no unnecessary bureaucracy, allowing you to focus on things that really matter
  • Shaping the company’s future: Responsible position with direct impact and room for creativity in a highly motivated and experienced team
  • A workplace tailored to your needs: 40 hours per week with flexible start and end times, brand-new lab and office spaces, and the freedom to work from home when needed
  • Attractive benefits: Monthly vouchers for personal use (e.g. groceries, wellness, etc)
  • Step into the future of biotech: Join a cutting-edge biotech start-up in Munich, driving innovative drug development with strong venture capital support

Start: Immediately | Location: Munich/Neuherberg (Life Science Factory at the Helmholtz Pioneer Campus)

Interested to join the smartbax team? We look forward to receiving your application with a short cover letter, CV and availability.

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