Senior Artificial Intelligence Scientist
South San Francisco, California, United States
Full Time Senior-level / Expert USD 176K - 215K
Cytokinetics
Cytokinetics is a late-stage, specialty cardiovascular biopharmaceutical company focused on discovering, developing and commercializing first-in-class muscle activators and next-in-class muscle inhibitors as potential treatments for debilitating diseases in which cardiac muscle performance is compromised. As a leader in muscle biology and the mechanics of muscle performance, the company is developing small molecule drug candidates specifically engineered to impact myocardial muscle function and contractility.
Cytokinetics is dedicated to advancing the frontiers of technology through the strategic application of artificial intelligence, machine learning, image analysis, and computational biology and chemistry. We are at the forefront of innovation, driving impactful solutions in drug discovery. As we expand our team, we are seeking a highly skilled Senior AI Expert to contribute to our ambitious projects and initiatives.
We are seeking a dynamic experienced AI Expert with a Ph.D in Machine Learning, Artificial Intelligence, Computer Science, or a related field, accompanied degree in Bioinformatics, Cheminformatics, or a relevant discipline. This role requires extensive experience in building supervised learning models, particularly in image analysis, with a focus on phenotypic screening, images of cells, and cell parts. It is also essential to have experience with regression models for predictors and a deep understanding of biological data analysis. Experience of ML utilization for classification, regression, and clustering of highly complex metabolomic and/or proteomics data is also desired.
Responsibilities
- Collaborate closely with the Director of Discovery Technologies to foster and grow AI implementation, infrastructure, and processes within the organization.
- Lead the research, development, and implementation of advanced machine learning and deep learning algorithms to solve complex problems within Biological Sciences. This includes supervised, non-supervised analysis & visualization, as well as image analysis, particularly in phenotypic screening, images of cells, and cell parts.
- Utilize regression models for predictors in biological data analysis to derive meaningful insights and predictions from large-scale datasets.
- Collaborate closely with interdisciplinary teams to define project objectives, design experimental frameworks, and deliver innovative solutions that drive impact across Research Discovery programs.
- Conduct thorough data preprocessing, feature extraction, and dimensionality reduction to optimize model performance and scalability.
- Stay abreast of the latest developments in AI, machine learning, bioinformatics, and cheminformatics, and integrate emerging technologies and methodologies into our workflows.
- Provide technical leadership and mentorship to colleagues, fostering a collaborative and intellectually stimulating environment.
- Evaluate and compare different machine learning frameworks and libraries to identify the most suitable tools for specific tasks.
- Contribute and assist to the development and documentation of best practices, standards, and guidelines for AI and machine learning within the organization.
- Communicate findings and results effectively to both technical and non-technical stakeholders through presentations, reports, and documentation.
- Take ownership of projects from conception to deployment, ensuring high-quality and reliable solutions are delivered on time and within budget constraints.
- Report regularly to the Director of Discovery Technologies on project progress, challenges, and opportunities for improvement, providing strategic insights and recommendations for further advancements.
Qualifications
- D. in Machine Learning, Artificial Intelligence, Computer Science, Bioinformatics, or relevant discipline
- Minimum 3-7 years of experience that may include post-doc in machine learning and AI field utilizing large-scale datasets and cutting-edge machine learning techniques to develop accurate and robust supervised learning models
- Proven expertise in building supervised learning models, with a focus on image analysis and biological data analysis, including proteomics and/or metabolomics.
- Strong background in statistical analysis, data visualization, and algorithm development, with a demonstrated ability to tackle complex problems in interdisciplinary domains.
- Proficiency in programming languages such as Python, Matlab, R, and experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Excellent communication skills, with the ability to convey technical concepts effectively to diverse audiences, both verbally, written, and presentation style.
- Proactive and results-driven approach
- Passion for continuous learning and innovation
Nice-to-Haves:
- Experience with cloud-based machine learning platforms such as Amazon SageMaker or Apache Spark-based solutions like Databricks is advantageous.
- Familiarity with other Amazon Cloud AWS services
- Experience with DeepCut for processing image analysis of pre-clinical studies
- Experience with Cellpose for processing phenotypic cell images
Actual salary at the time of hire may vary and may be above or below the range based on various factors, including, but not limited to, the candidate’s relevant qualifications, skills, and experience, as well as the service line and location where this position may be filled.
Salary Pay Range$176,000—$215,000 USDOur employees come from different backgrounds, and we celebrate those differences. We are looking for the best candidates for our open roles, but do not expect applicants to meet every qualification in order to be considered. If you are excited about what you could accomplish at Cytokinetics and believe you can add value to our team, we would love to hear from you.
Please review our General Data Protection Regulation (GDPR) policy PRIOR to applying.
Our passion is anchored in robust scientific thinking, grounded in integrity and critical thinking. We keep the patient front and center in all we do – all actions and decisions are in service of the patient and their caregivers. We champion integrity, ethics, doing the right thing, and being our best selves.
Please visit our website at: www.cytokinetics.com
Cytokinetics is an Equal Opportunity Employer
Tags: AWS Bioinformatics Biology Chemistry Classification Clustering Computer Science Data analysis Databricks Data visualization Deep Learning Drug discovery Machine Learning Matlab Python PyTorch R Research SageMaker Scikit-learn Spark Statistics TensorFlow
Perks/benefits: Career development
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open Data Science Manager jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Data Manager jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Data Scientist II jobs
- Open Junior Data Scientist jobs
- Open Business Data Analyst jobs
- Open Data Analytics Engineer jobs
- Open Sr Data Engineer jobs
- Open Product Data Analyst jobs
- Open Business Intelligence Developer jobs
- Open Data Analyst Intern jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Principal Data Scientist jobs
- Open Data Quality Analyst jobs
- Open Research Scientist jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Deep Learning-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open LLMs-related jobs
- Open CI/CD-related jobs
- Open Generative AI-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs