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Job Specification
Seargin is looking for a Python Developer
- Position: Python Developer
- Technologies: Python, Data Analysis, Machine Learning Location: Remote
- Area: Project
- Form of employment: B2B
- Experience Level: Senior
The main tasks for Python Developer will be:
- Cooperatively and pragmatically solving scientific software engineering challenges encountered at the forefront of single-cell genomics data analysis infrastructure
- Working with business analysts, computational scientists, and other software engineers to understand and conceptualize the complex, emerging needs of our scientists, whether they are working at the keyboard or the bench
- Planning and prioritizing complex scientific software projects in conjunction with collaborators, steering committees, and other stakeholders
- Collaborating with local and off-shore engineering teams to support his/her software development efforts
- Effectively communicating strategies, ideas, goals, and progress to departmental, cross-functional and senior management
- Participating in the broader scientific community through open-source software development
The Candidate should have:
- Minimum 5 years of experience in Python (NumPy, scipy, scikit-learn, TensorFlow, matplotlib)
- Minimum 6 years of experience in SQL
- Minimum 4 years of experience in software development
- Expertise in:
- Version control and JIRA-like task management
- The Python data analysis ecosystem, including NumPy, pandas, scipy.sparse and cython
- Performant file formats for data analysis and scientific computation (e.g., hdf5, zarr, tiledb)
- Educational background with BS Degree or higher in bioinformatics, computer science, or related fields - technical university preferred
- Minimum 3 years of experience in developing tools for data analysis
- Experience in:
- Deploying performant software in cloud environments
- Supporting data science activities using FAIR data management and reproducible practices
- Familiarity with:
- Modern Machine Learning python frameworks (e.g, PyTorch)
- Best practices for effective use of High-Performance Computing environments (e.g., slurm)
- Proven adherence to best practices in software engineering, particularly usability, version control, testing, and appropriate use of abstraction
- Proven capability to effectively communicate about complex bioinformatics problems to peers, users, and leadership
- Passionate about working in a scientific environment, especially one that is related to drug discovery and development
- Quick learning skills, curiosity about new areas and the opportunity to build expertise, and courageously and creatively take initiative to see his/her ideas implemented
- Interest in the challenges of developing software that solves universal problems in bioinformatics
- Ability to perform at a high level in a fast-changing and demanding environment
- Being pragmatic about the tradeoffs between features, quality, and timeliness
- Team-oriented, detail-oriented, efficient, and solution-oriented attitude
- Superb analytical and problem-solving skills
- Excellent communication and interpersonal skills
- Flexibility and ability to work independently and in a team
- Great English skills (written and spoken) B2 level
It would be a plus if the Candidate had:
- Biological domain knowledge
- Knowledge of formal build/release/deploy and continuous integration frameworks
The Candidate can expect:
- B2B Contract
- Challenging job in an international and multilingual environment
- Professional development
- Attractive and competitive compensation
ABOUT COMPANY
Company size: 500+
Main location:EU
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