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Construction Management, Materials Science, Materials Science and Engineering, Project Engineering & Management, Risk Management, Civil Engineering, Mechanical Engineering, Electrical Engineering, Industrial Engineering.
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PHD candidates in Engineering/ IT/Computer Engineering/Computer Science/Bioinformatics or related discipline with relevant with a minimum of 1 years of experience in software development and pipeline automation in the pharmaceutical and/or biotech industry.
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Background in a relevant scientific area, such as drug discovery, therapeutic development, computational chemistry, computer vision, statistics, artificial intelligence, modeling, simulations computational genomics or biology, statistical genetics, data science, chemistry, or biology.
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Bachelor’s Degree in Computer Science, Information Systems, Electrical Engineering, Mathematics, or a related quantitative field. Additional experience with Pyspark, AWS S3, Lambda, EC2/AZ, Data bricks, Machine learning (ML), GenAI/ Computer Vision, Theory of Probability, GitLab, R Programming, GCP & Airflow will be preferred.
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Ph. D. in chemistry, electrochemistry, chemical engineering, physics, materials science, or a related field. Expertise in battery science, electrochemistry, materials synthesis, and analytical methods.
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Knowledge of IT architecture and operations (computing, network, storage & cloud)Strong working knowledge of security technologies including but not limited to SIEM, EDR/EPP, AV, ID/PS, HIPS, Web Proxy/Content filtering, AD, PKI and DNSBachelor's in Cyber Security, Information Technology, Computer Science and/or completion of a Cybersecurity boot camp.
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Job Title: Medical Science Liaison (MSL) - Rare Disease. Minimum of 2 years of experience as a Medical Science Liaison (MSL) in the pharmaceutical or biotechnology industry. Position Overview: We are seeking an experienced Medical Science Liaison (MSL) with a focus on rare diseases to join our client's dynamic team in Boston.
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PHD candidates in Engineering/ IT/Computer Engineering/Computer Science/Bioinformatics or related discipline with relevant with a minimum of 3 years of experience in software development and pipeline automation in the pharmaceutical and/or biotech industry.
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Bachelor’s degree+ in library science, journalism, intelligence studies, pre-law, computer science, web development, cybersecurity, data science, a related field, or equivalent experience.
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PhD in Neuroscience/Computational Neuroscience/Cognitive Science/Psychology, Human Factors Engineering, Human-Computer Interaction, or a related field. Exposure to data science best practices including reproducibility tools (git, conda environments, docker, virtual machines), dashboard visualization (Tableau, R Shiny, D3), analysis narrative tools (jupyter, R Notebook), and graphing tools.
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Requirements Requires an advanced degree in Pharmaceutical Sciences, Chemistry, Materials Science, or related field with 5+ years of experience in process development and manufacturing of peptide and oligonucleotide APIs including PMOs. Experience with solid phase peptide/oligo synthesis preferred.
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Job Description: We're seeking a proactive and highly skilled Data Analyst with a background in Computer Science, Data Engineering, or a related field, coupled with expertise in Google Cloud Platform (GCP) and Amazon Web Services (AWS.
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Subject matter expertise in a financial services sub-area like Retail Banking, Commercial Banking, Transaction Banking, Wholesale Banking, Cards & Payments, Wealth Management, Investment Management, Real Estate, Private Equity, Capital Markets.
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Manage and evolve the MFS Model Risk Management Program. Oversee and continue to enhance the MFS' vendor risk management program including vendor on-boarding and annual due diligence requirements.
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As an Environmental Health & Safety Officer (EHS Officer), you will create, implement, and maintain Environmental Health & Safety (EHS) programs for our growing list of life science and high-tech clients.
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materials management computer science jobs Company: Deloitte in Cambridge, MA
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