Senior Machine Learning Scientist
QlooSalary not specified
Full Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Biotechnology, PharmaceuticalsIndustries
Requirements
- Ph.D. in a quantitative field (e.g., Data Science, Computer Science, Chemistry) with 5+ years of relevant industry experience
- Strong understanding of the principles and application of machine learning in drug discovery
- Proven experience in building and deploying ML models for tasks such as chemical property prediction or hit identification
- Proficiency in handling and analyzing chemical data using relevant tools
Responsibilities
- Apply machine learning techniques (e.g., deep learning, graph neural networks, ensemble methods) to drug hit finding and molecular property prediction
- Work extensively with chemical data, including various molecular representations (e.g., SMILES, molecular graphs, fingerprints)
- Utilize machine learning libraries, platforms, and infrastructure to build, train, and evaluate models
- Collaborate closely with chemists, biologists, and other data scientists to understand project goals and translate them into data science solutions
- Develop and implement robust data pipelines for preparing and analyzing chemical and biological data
- Evaluate the performance of models using appropriate metrics and iterate to improve their accuracy and applicability
- Communicate findings and insights clearly and effectively to both technical and non-technical audiences
- Stay current with the latest advancements in machine learning for drug discovery and recommend their adoption where appropriate
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the location for this role?
Septerna is based in South San Francisco, CA, suggesting this is an on-site position.
What is the salary range for this Staff Scientist/Senior Staff Scientist position?
This information is not specified in the job description.
What key skills are required for this machine learning role?
The role requires experience with machine learning techniques like deep learning, graph neural networks, and ensemble methods; working with chemical data such as SMILES, molecular graphs, and fingerprints; and utilizing ML libraries to build, train, and evaluate models, plus industry experience in ML for chemistry and drug discovery.
What is the company culture like at Septerna?
Septerna embraces diversity of thought, expertise, and background through collaboration, encourages bringing your real self to work, and cultivates a team-oriented environment focused on learning, innovation, and developing meaningful therapeutics.
What makes a strong candidate for this position?
A strong candidate will have industry experience in machine learning for chemistry and drug discovery, passion for impactful ML solutions, and the ability to collaborate closely with chemists, biologists, and data science teams in a fast-paced environment.
Superna
Data protection solutions for Dell EMC Isilon
About Superna
Superna Eyeglass provides data protection solutions specifically designed for Dell EMC Isilon storage systems. Their products include tools for data replication, disaster recovery, and compliance auditing, which help enterprise clients manage their data securely and efficiently. The software operates on a subscription model, allowing clients to receive regular updates and technical support. What sets Superna Eyeglass apart from competitors is its focus on the unique needs of Dell EMC Isilon users, enabling them to offer specialized services in the data protection market. The company's goal is to ensure that clients can maintain secure operations while meeting compliance requirements.
Ottawa, CanadaHeadquarters
2002Year Founded
BUYOUTCompany Stage
Data & Analytics, Enterprise SoftwareIndustries
51-200Employees
Risks
Emerging startups offer innovative solutions at lower costs, threatening market share.
Cloud-native solutions may outpace Superna's current offerings, reducing attractiveness.
Vulnerability in Dell EMC Isilon systems could impact client trust if not addressed.
Differentiation
Superna Eyeglass specializes in Dell EMC Isilon storage systems, carving a niche market.
The company offers a subscription model, ensuring ongoing software updates and support.
Superna provides tailored solutions for data replication, disaster recovery, and compliance auditing.
Upsides
Rising demand for hybrid cloud solutions boosts Superna's market potential.
New data privacy regulations increase demand for compliance auditing tools.
Ransomware threats drive demand for robust disaster recovery solutions.
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