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Our client, a provider of intelligent solutions for government and corporate decision-makers, is hiring a Director of Data Science to join their team on a full-time remote basis. The successful candidate will be instrumental in shaping the data science strategy, driving innovation and delivering actionable insights that align with the company's business objectives.
Responsibilities:
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As the Director of Data Science, you will be responsible to develop and implement the company’s data science vision and strategy.
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You will nurture a culture of innovation, collaboration and continuous learning.
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Lead, hire and mentor a high-performing team of data scientists, engineers and analysts.
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Oversee the design, implementation and maintenance of data science solutions.
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Guide the team in utilizing advanced data science techniques and algorithms.
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Ensure robust data governance, quality and security.
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Collaborate with stakeholders to identify and address business challenges and opportunities.
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Provide actionable insights and recommendations to support strategic decisions.
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Translate complex data concepts for non-technical audiences.
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Work closely with IT, product teams and other business units to drive key initiatives.
Qualifications:
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U.S. Citizenship and the ability to obtain a DOD Secret Clearance.
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Master’s or PhD degree in Data Science, Computer Science, Statistics or a related field.
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Over 10 years of experience in data science, including at least 5 years in a leadership capacity.
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Demonstrated success in leading and scaling data science teams.
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Hands-on experience with cloud-based SaaS solutions, especially Google Cloud Platform (GCP).
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Familiarity with systems design or direct experience in system design.
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Comprehensive knowledge of data science processes, techniques, and tools.
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Expertise in data governance, privacy, and security.
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Strong understanding of data engineering principles.
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Experience working in both small, agile teams and large organizations.
Interested? Apply now in the link below.
Our client, a provider of intelligent solutions for government and corporate decision-makers, is hiring a Director of Data Science to join their team in Florida. The successful candidate will be instrumental in shaping the data science strategy, driving innovation and delivering actionable insights that align with the company's business objectives.
Responsibilities:
-
As the Director of Data Science, you will be responsible to develop and implement the company’s data science vision and strategy.
-
You will nurture a culture of innovation, collaboration and continuous learning.
-
Lead, hire and mentor a high-performing team of data scientists, engineers and analysts.
-
Oversee the design, implementation and maintenance of data science solutions.
-
Guide the team in utilizing advanced data science techniques and algorithms.
-
Ensure robust data governance, quality and security.
-
Collaborate with stakeholders to identify and address business challenges and opportunities.
-
Provide actionable insights and recommendations to support strategic decisions.
-
Translate complex data concepts for non-technical audiences.
-
Work closely with IT, product teams and other business units to drive key initiatives.
Qualifications:
-
U.S. Citizenship and the ability to obtain a DOD Secret Clearance.
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Master’s or PhD degree in Data Science, Computer Science, Statistics or a related field.
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Over 10 years of experience in data science, including at least 5 years in a leadership capacity.
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Demonstrated success in leading and scaling data science teams.
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Hands-on experience with cloud-based SaaS solutions, especially Google Cloud Platform (GCP).
-
Familiarity with systems design or direct experience in system design.
-
Comprehensive knowledge of data science processes, techniques, and tools.
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Expertise in data governance, privacy, and security.
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Strong understanding of data engineering principles.
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Experience working in both small, agile teams and large organizations.
Interested? Apply now in the link below.
Our client are a leading innovator in the Healthcare industry and they are hiring a hands-on Senior Data Scientist to join the team in North Carolina. The successful candidate will address intricate biological and technical issues, create and deploy data pipelines and classification algorithms, and derive actionable insights from a range of data sources.
Responsibilities
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As the Senior Data Scientist, you will be responsible to lead data analysis initiatives for cutting-edge healthcare products.
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You will develop and deploy data pipelines and classification algorithms to synthesize and interpret a variety of data sources.
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Engage in multi-omic, imaging and flow cytometry-based assays.
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Work closely with cross-disciplinary teams to drive product development and foster biopharma collaborations.
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Deliver high-quality solutions efficiently within a fast-paced startup setting.
Skillset
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Ph.D. in Bioinformatics, Data Science, Bioengineering or equivalent.
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Minimum of three years of experience within drug discovery or development.
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Deep knowledge of biostatistical methods and molecular biology, with a focus on cancer genomics.
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Skilled in scripting languages like Python, R, and Linux shell environments
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Experience with custom algorithms, version control, and software design practices is a plus.
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Proficient in handling NGS data and utilizing bioinformatics tools, along with machine learning techniques.
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Experience working with experimental scientists on Design of Experiments (DOE) and familiarity with best practices.
Benefits
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Salary: Max. $160k - $180k
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Bonus and Equity
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Health, vision and dental insurance
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Retirement plans.
Interested? Apply Now in the link below
Our client are a leading innovator in the Healthcare industry and they are hiring a hands-on Senior Director of Data Science to join the team in North Carolina. The successful candidate will play a key role in shaping the future of the data science team and drive innovative applications of machine learning and computer vision to enhance their groundbreaking cancer research platform.
Responsibilities
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As the Senior Director of Data Science, you will recruit and mentor a talented data science team, setting strategic goals and encouraging innovation.
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You will create and implement machine learning and computer vision solutions to analyze intricate biological data, particularly in cancer biology.
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Work closely with cross-functional teams to develop and execute data-driven strategies for cancer research.
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Manage the entire machine learning lifecycle, ensuring the scalability and sustainability of AI/ML systems.
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Stay updated with the latest advancements in data science, AI and computational biology to support the organization’s strategic decisions.
Skillset
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PhD in Computational Biology, Bioinformatics, Computer Science or related.
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At least eight years of industry experience in data science applied to biological problems with at least three years in a leadership role.
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Extensive expertise in biology with a strong track record in machine learning and computer vision for biological data analysis.
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Proficiency in MLOps and experience with cloud platforms (AWS) for processing large-scale data.
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Experience working in a fast-paced startup environment.
Benefits
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Salary: Max. $280k
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Bonus and Equity
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Health, vision and dental insurance
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Retirement plans.
Interested? Apply Now in the link below
Our client, an AI-driven company revolutionizing healthcare, is hiring an AI Engineer to join their team in California. The successful candidate will drive the creation of sophisticated predictive models and generative AI applications, with the goal of enhancing the patient experience and achieving better health outcomes.
Responsibilities:
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As the AI Engineer, you will be responsible to design machine learning models and generative AI applications to tackle real-world challenges in patient engagement and workflow automation.
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You will collaborate with stakeholders and cross-functional teams to identify data requirements and deliver impactful solutions.
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Integrate, normalize and analyze large datasets to derive actionable insights that enhance patient experiences and health outcomes.
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Utilize machine learning and statistical techniques to develop high-performing predictive models.
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Convert complex quantitative analyses into clear, actionable insights for both technical and non-technical audiences.
Skillset
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Master’s or PhD in Data Science, Computer Science or similar.
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Over 7 years of experience in designing and developing ML, deep learning, NLP and generative AI solutions, with a focus on healthcare applications.
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Expertise in data science tools, ML frameworks, and programming languages (Python, R, SQL).
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Experience with cloud platforms such as AWS and/or Azure.
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Strong preference for experience in developing applications utilized by patients and/or clinicians.
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Excellent communication and problem-solving abilities.
Salary: Circa $200k
Interested? Apply now in the link below.
Our client, an innovative AI-driven startup, is hiring a Research Scientist to join their team in California. The successful candidate will develop and scale methods to make transformers more interpretable by converting them into more comprehensible representations, thereby improving the company’s understanding and application of Large Language Models.
Responsibilities
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As the Research Scientist, you will design and conduct experiments to assess the effectiveness of model mapping techniques.
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You will be responsible to analyze and convert models into interpretable programs.
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Manage and interpret large datasets from interpretability experiments.
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Investigate the internal mechanisms of large language models.
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Create and suggest innovative methods for understanding LLM behavior.
Skillset
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Passionate about discovering the algorithms underlying intelligence and dedicated to a career focused on exploring model behavior.
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Ability to work in a fast-paced startup environment.
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Skilled in machine learning algorithms (e.g., PyTorch)
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Experience with distributed training frameworks (e.g., PyTorch Lightning, DeepSpeed).
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Expertise in writing clean code and knowledgeable in programming languages such as Python.
Salary: TBC by our client
Interested? Apply Now in the link below.