Data Scientist enhancing merchandising and inventory performance using machine learning techniques at Nordstrom. Collaborating with teams to develop data - driven solutions for better customer experiences.
MY
Hybrid Senior Software Developer – Full Stack, Data Science, Bioinformatics
Posted 5 months ago
About the role
- Lead development of Mycolever's cloud-based fungal biocompound discovery platform using AI/ML and multiomics. Collaborate with scientists to deliver scalable, customer-facing discovery services.
Responsibilities
- Actively support and shape the strategic direction of the biocompound discovery platform in alignment with overall company strategy and customer requirements.
- Manage a cross-functional project team as a hands-on product owner and ensure alignment with the founding team’s vision and goals as well as customer requirements.
- Develop and maintain a cloud-based biocompound discovery platform.
- Design and implement algorithms and data flows from internal and external sources.
- Utilize AI and machine learning techniques to analyze and match multiomics data to functional properties of molecules.
- Stay abreast of the latest advancements in platform technologies, bioinformatics, AI, and machine learning to continually improve the platform.
- Create a comprehensive map of fungal chemistry through metabologenomics.
- Predict chemical structures and properties using deep learning.
- Ensure the platform is scalable, secure, and user-friendly.
- Collaborate with biologists, chemists, chem-/bioinformaticians and data scientists to integrate their insights into the platform.
- Identify and develop discovery services for customers, leading to paid collaboration projects or licensing opportunities for discovered compounds.
- Integrate data and learning from high-throughput validations in the lab environment into the platform.
Requirements
- 3-5 years of practical software development
- Proven experience as software development and product owner in complex B2B software and services development in an agile environment (scrum)
- Proficiency in developing and deploying algorithms and data flows
- Proficient in software engineering using programming languages such as Java, Python, C++
- Familiarity with knowledge graph development and databases such as Neo4j
- Proficient in data engineering tools and technologies, such as Python, SQL and ETL / ELT frameworks
- Experience with integration of large language models to annotate unstructured data to knowledge graph
- Strong understanding of data analysis libraries such as Pandas and NumPy
- Experience with cloud technologies like Google Cloud, Azure, or AWS as well as Docker
- Knowledge of development tools, documentation and version control systems, particularly Jira, Confluence, GitHub or GitLab
- Optional: Familiarity with data visualization libraries such as Plotly, Matplotlib or Bokeh
- Soft skills: Entrepreneurial mindset, proactive approach, strong problem-solving, ability to work independently, excellent communication and teamwork abilities, experience in team leadership and management
Benefits
- Be at the forefront of biocompound discovery by shaping and building on of the first discovery platforms targeted on industrial bioeconomy bioproducts
- Collaborate with a multidisciplinary team of experts in bioinformatics, cheminformatics, and data science.
- Shape the strategic direction of a groundbreaking biocompound discovery platform.
- Deploy your hands-on experience SW platform development for a scalable and impactful cloud-based platform.
- Reach out to us with your application – no extensive documents required.
- We are committed to fostering an inclusive and diverse workplace and warmly welcome applicants from underrepresented groups.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
Clinical Data Manager supporting research projects and managing patient databases at Mass General Brigham. Interact with patients and maintain data integrity in clinical research.
Technical Lead in Data Science guiding analytical systems design and team mentorship for a finance technology company. Collaborating across engineering and research to drive innovation and data excellence.
Technical Lead in Data Science at Voleon, driving the design and implementation of analytical systems. Mentoring a growing team of data scientists while ensuring methodological rigor in finance applications.
Data Scientist developing analytical solutions for customer data transformation and supporting critical business decisions. Focus on quality and integrity of data through statistical models and analysis.
Junior Data Scientist developing demand forecasting models for Nestlé’s Supply Chain team. Collaborating with analysts and planners to improve forecasting tools and processes.
HCM Data and Process Analytics Lead at ABB building business intelligence for HCM solutions. Analyzing data to drive improvements in performance and data quality across the organization.
Data Scientist owning and delivering production - grade data pipelines at Simbe Robotics. Collaborating with Product Management, Engineering, and Commercial teams to surface insights from retail data.
Data and Analytics Manager defining strategies for a digital transportation company connecting freight and truckers in Brazil. Leading initiatives to maximize data value and promote a culture of data - driven decision - making.
Mid - Level Data Scientist leveraging data science techniques for USAA's financial security solutions. Collaborating with various teams to develop advanced analytics and model deployment practices.