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
Machine Learning
GPCR
Drug Discovery
Structural Biology
Computational Biology
Protein Structure
Molecular Dynamics
High-Throughput Screening
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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