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Job Requirements: PhD degree, or foreign equivalent, in Electrical Engineering, Computer Science, Statistics or Bioengineering or a related field plus 3 years as a Data Scientist or any job title/occupation/position involving Data Sciences.
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We are looking for a Senior Manager within the Data and Science Department with experience interfacing with life science companies to support a variety of teams, such as HEOR and medical affairs, by providing analytic solutions that generate evidence across different use cases that span the clinical development cycle.
$162,000 - $205,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience using Medidata EDC and data visualization programs (e.g., R-Shiny, SAS, SpotFire, Tableu, Excel Pivot Tables, etc.) Scorpion has built a proprietary and fully integrated platform of the most advanced technologies across cancer biology, medicinal chemistry, and data sciences, with the goal of consistently and rapidly creating exquisitely selective small molecule compounds against an unprecedented spectrum of targets.
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Lead the data science driven initiatives/projects in building data products that power our advertising and monetization platform. Proactively identify and lead improvements to the execution of research and analytics within the Data Science team.
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Candidates should have a doctoral degree in bioinformatics, computational biology, statistics, data science, other relevant fields with at least 1-3 years/ master's degree with at least 5-7 years/BS degree with at least 10 years of relevant post-degree experience, preferably in pharma/biotech or related research organizations/academia.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Technically related: Computer Science, Cybersecurity, Engineering, Human Resources, Information Technology/Systems, Journalism/Investigative Reporting, Languages/Linguistics, Logistics, Management Information Systems, Mathematics/Statistics/Data Science, Sciences (anthropology, biology, chemistry, etc.
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4+ years of experience working on data science or analytics, ideally at a high-growth company or SaaS business. Hand-on knowledge of ETL and data warehouse technologies (i.e. dbt, Databricks, BigQuery, Redshift, Airflow, Snowflake.
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Proficient in data science tools and programming languages such as SAS, Python, R, Scala, SQL. Work with a variety of data science tools and programming languages such as SAS, Python, R, Scala, SQL.
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Maze applies variant functionalization in tandem with advanced data science methods and a robust suite of research and development capabilities to advance a pipeline of novel precision medicines.
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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.
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In close partnership with Clinical R&D business process owners, sponsors & stakeholders including Clinical Science & Operations, Data Management & Biostatistics, Regulatory Affairs, PV, Biometrics, & Clinical Quality, provide leadership & subject matter expertise to drive timely & compliant planning, evaluation, procurement, implementation & operation of Clinical R&D systems.
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Introductory knowledge of IT & Security concepts: Malware Analysis, Web Firewall, Scripting/coding, SIEM, Vulnerability, SAML, Cloud IaaS (AWS, GCP or Azure), Phishing, Data loss Prevention, Network Security.
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Existing collaborations within CZ Biohub: Technology Platforms (Bioengineering, Computational Microscopy, Data Science, Genomic Sequencing, Mass Spectrometry/Proteomics), and Research Group Leaders.
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Experience working with cross functional teams (Data Science teams a plus) Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products.
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data science jobs Title: project manager in San Francisco, CA
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