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At 1910 Genetics, we put computation at the heart of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, genetics, data science, and software engineering to develop drugs for previously undruggable targets.
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Regional thought leadership and other business development activities include preparing for and organizing Alexandria-led and community life science events that convene, accelerate, and enable the growth of life science activities in Greater Boston.
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Working closely with the Regional Account Managers, Inside Sales Representatives and Marketing, you will leverage your strong technical background and consultative training and support experience to establish and maintain relationships with new and existing clients in the life science sector (BioPharma, Biotech, CRO/CDMOs, etc), with a focus on Single Cell and Proteomic applications within the areas of Cell Line Development, Antibody Discovery, Bioprocessing, Cell & Gene Therapy, and more.
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Alternatively, the employer will accept a Master’s degree in Finance, Computer Science, Engineering Management, or other related field plus three (3) years of experience in the job offered or three (3) years as a Senior Application Support Engineer, Data Analyst, or a related occupation.
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Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred.
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Ph. D. in computational chemistry, cheminformatics, computer science or a related field with 5+ years experience in the pharmaceutical industry. Propose technology initiatives and develop tools that improve cheminformatics and workflows for small molecule drug design and analyses of large data sets.
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A PLUS - Life Science sales experience. This Life Science Company continues to grow at a rapid rate and is looking to add a high energy, customer-focused individual. A PLUS - Life Science sales experience.
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Bachelor s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Information Management, Business Administration, or a closely related field and six (6) years of experience as a Director, Data Analytics and Insights (or closely related occupation) performing data analysis using Snowflake, SAS, SQL for data querying, Python, and Alteryx.
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Experience using one or more relevant data science programming languages such as, R, Python, SQL, MATLAB; the use of an integrated development environment (IDE) such as, RStudio. Experience in the use of relevant data science programming languages such as, R, Python, SQL, MATLAB, and experience using an integrated development environment (IDE) such as, RStudio.
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Bachelor of Science (BS) or Arts (BA) college degree or equivalent clinical degree i.e., Registered Cardiovascular Invasive Specialist (RCIS), Certified Cardiology Technician, Registered nurse (RN) or Nurse Practitioner (NP), Transcatheter Cardiovascular Surgical/Scrub technician, Physician Assistant (PA.
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BA/BS degree +8 years of experience or demonstrated equivalency of experience and/or education in Biology, Marine Biology, Environmental Science/Planning or related field. + MS Preferred in Biology, Marine Biology, Environmental Science/Planning.
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We are seeking a leader for our Defense and Policy Sciences Department (DPS) which is home to a range of researchers from disciplines including political science, international studies, history, and law.
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Current areas of desired expertise include general litigation, energy law, environmental science and/or compliance, marine science, GIS and spatial analysis, and library and information science.
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A minimum of 7 years of experience in data science, engineering and bioinformatics in the life sciences. Collaborate effectively within a matrix environment, with scientists across various scientific disciplines, therapeutic areas, and departments to develop a strategy and appropriate goals for data science work.
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Preferred Area of Study: Computer Science, Systems Engineering, Computer Information Systems. Preferred Area of Experience: Microsoft 365, Power Platform (PowerApps, Power Automate, Power Pages, Dataverse, Power Virtual Agents/Microsoft CoPilot), Fabric (Power Bi, OneLake, Factory, Synapse Data Warehouse, Synapse Data Engineering, Synapse Real-Time Analytics), SharePoint, Windows Server, Azure, DevOps, CI/CD Pipelines.
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science job Title: data Company: Cambridge Sports Analytics in Boston, Schuyler, Nebraska
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