Total 4 Senior Executive clinical research job vacancies in Maintenance / Repair category in Malaysia

The Role and the Department  

The post holder will be responsible for assisting with the day-to-day technical functions and operations in the Physics Department, providing technical and engineering related assistance throughout a large, busy and diverse selection of research laboratories, thereby ensuring smooth and efficient operation throughout the area.

The post holder will be required to exercise an acquired depth of knowledge and experience to provide flexible, specialist technical support as part of a technical team supporting all research and final year undergraduate activities conducted within the Department of Physics. Primarily servicing the needs of research, while supporting other areas of the Department as and when required, providing all stakeholders with an expert level of technical service and guidance.

Our Department of Physics is a thriving centre for research and education. Ranked 2nd in the UK by The Guardian University Guide 2023 and in the World Top 100 in the QS World University Rankings by Subject 2023, we are proud to deliver a teaching and learning experience for students which closely aligns with the research-intensive values and practices of the University. Feeling inspired? Visit our Physics webpages to learn more about our postgraduate and undergraduate programmes. Durham University is a top 100 world university. In the QS World University Rankings 2024, we were ranked 78th globally.

Proud member of the Disability Confident employer scheme

Role Summary

Pfizer’s Machine Learning Hub is seeking a passionate, creative, and experienced machine learning researcher to design and implement new machine learning tools to accelerate drug discovery. As a member of our Machine Learning Research team, you will design new approaches to derive insights from Pfizer’s proprietary data and external datasets to generate testable hypotheses across the drug discovery continuum with a focus on extracting biological knowledge. The individual will also design, establish, and manage internal and external collaborations to advance Pfizer’s ML capabilities. The ideal candidate should have an outstanding scientific reputation in the field of machine learning research for computational biology and a demonstrated passion for solving biological problems relevant to drug discovery. Our team is located in Cambridge, MA, USA and Berlin, Germany and this role can accommodate an exceptional candidate in either location.

Role Responsibilities

Principal downstream application domains include indication expansion, target identification, disease mechanism elucidation, and partnering with practitioners in these areas to advance the state-of-the-art.

• Development and implementation of advanced machine learning models specifically designed for analyzing heterogeneous biological data. This includes data from genomics, proteomics, metabolomics, and other biological sources.
• Advance the internal machine learning tech stack to cope with spurious correlation, obscuring variation and inherent multimodality of biomedical, chemical, and ‘omics data
• Research, design and implement learning algorithms for analysis problems related to drug discovery
• Be an active member of a highly interdisciplinary team
• Conceive, execute and evaluate studies and experiments, interpret the results and present them to scientist in other functions
• Strengthen external visibility and scientific excellence through publishing / presenting work in reputed journals and conference/workshop venues and engaging with the scientific community

Qualifications

• Formal training in Biology, Computational Biology, Statistics, Machine Learning, or a related technical discipline
• PhD and 2+ years of relevant research experience in developing machine/deep learning-based solutions and a sincere interest for computational life sciences
• Hands-on experience in handling, processing, integrating, and analyzing large heterogenous biological data sets related to industrial drug discovery research (e.g., sc/snRNAseq, ATAC-seq, genomics, proteomics, etc.)
• Proven expertise in developing machine learning for computational biology
• Highly creative person with outstanding problem-solving skills to tackle complex analysis tasks in a timely fashion
• Strong publication record and demonstrated contributions to the field
• Solid expertise with ML libraries such as PyTorch, Lightning is mandatory! Programming skills in Python must be top-notch. Experience with relevant libraries of the Python scientific stack is a big plus.
• Familiarity with GPU computing both on-premises and on cloud platforms
• Fluency with common version control tools and collaborative coding
• Passion and curiosity for data and proven ability to take ideas from prototype to production
• Strong interpersonal skills, distinct collaborative attitude, excellent written and verbal communication

PHYSICAL/MENTAL REQUIREMENTS

Ability to perform mathematical calculations and ability to perform complex data analysis. Relocation support available.

The annual base salary for this position ranges from $99,900.00 to $166,500.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 15.0% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States.

Relocation assistance may be available based on business needs and/or eligibility.

Information & Business Tech

Job Summary: Main Grade Perfusionist A Clinical Perfusion Scientist is responsible for the safe conduct of cardiopulmonary bypass and associated techniques. They must be able to make autonomous clinical decisions in challenging circumstances. They have a direct effect on the mortality and morbidity of patients. Their work includes activities that are complex and non-routine. The post holder must be part of the team and provide an efficient and effective perfusion service within their place of work. Working as directed by the Partners and team leaders. The post involves mandatory participation in the departments on call rota and night shift. Accountable to: Duty perfusionist, Team leaders and Partners of Cambridge Perfusion LLP (the LLP) Key Responsibilities: Clinical practice Training and Development Ensure all opportunities are taken to develop the skills required of a Clinical Perfusion Scientist Maintain accurate Personal Development and Training Records Ensure that all duties are carried out in accordance with policies and practices of the LLP Achieve the re-accreditation criteria of the College of Clinical Perfusion Scientists Communication and working relationships Provide and receive complex information whilst communicating in an effective manner As a member of the multidisciplinary team, always be clear and courteous Accurately and promptly relay sensitive information to other members of the team when required Support other team members during, and after, stressful workplace events and take part in de-brief / post-op analysis, where appropriate Knowledge and Professional Practice Be part of the team delivering 24/7 cover including on call and night shifts. Maintain the College of Clinical Perfusion Scientists of Great Britain and Ireland registration and comply with its professional code of conduct and guidelines Ensure a patient focussed clinical practice is maintained, monitored and audited. Have a current knowledge of best clinical practice. Be able to discuss with colleagues and evaluate the management of individual patients to optimise the patients outcome Monitor, evaluate and contribute to changes in practice with the aim of improving patient care Utilise clinical knowledge and skills to support and supervise a Trainee clinical perfusion scientist Analytical and judgement skills Monitor a range of clinical information and act within procedural guidelines Have the adaptive skills that meet the individual needs of the patient, often in demanding clinical circumstances Develop reflective practice Information and resources Assist the departmental Systems Manager in maintaining the I.S.O. 9001:2015 Quality standards documentation Ensure that all information is handled according to local Hospital Trust/Cambridge Perfusion LLP policies, procedures, and protocols Complete their electronic time sheet with hours worked in a timely manner along with any expense claims. Financial and physical resources Be responsible for careful use of all perfusion related equipment Ensure that equipment is safe to use and comply with local fault reporting procedures Work with other members of the team to maintain stock levels Obey relevant protocols and procedures when moving perfusion equipment to ensure own safety and that of others Complete all appropriate paperwork and computer data entry for work done Health and Safety Have due regard for the personal safety of themselves and others with respect to current health and safety regulations Fulfil all mandatory training obligations as directed by the Trust and LLP Make appropriate use of the available personal protective equipment Disassemble and remove contaminated clinical waste from clinical areas safely and ensure all equipment is disinfected according to local protocols Safely transfer patient on specialist devices between clinical areas showing regard for patient and personal safety Create, maintain and take responsibility for a healthy and safe working environment Take effective precautions to prevent the spread of infections to patients and colleagues Confidentiality and Safeguarding All employees must adhere to the Information Governance, Confidentiality and Information Security policies and procedures All staff are required to be familiar with the arrangements for safeguarding of vulnerable adults ____________________________________________________________ Job Summary: Senior Perfusionist A Senior Clinical Perfusion Scientist is responsible for the safe conduct of cardiopulmonary bypass and associated techniques. They must have a demonstrable experience and knowledge of advanced perfusion. They must be able to make autonomous clinical decisions in challenging circumstances and support colleagues when needed. Their work includes activities that are complex and non-routine. The post holder must be part of the team and provide an efficient and effective perfusion service within their place of work. Working as directed by the Partners and team leaders. The post involves mandatory participation in the departments on call rota and night shift. Accountable to: Duty perfusionist, Team Leaders and Partners of Cambridge Perfusion LLP (the LLP) Key Responsibilities: Clinical practice Training and Development Ensure all opportunities are taken to develop the skills required of a Senior Clinical Perfusion Scientist Maintain accurate Personal Development and Training Records Ensure that all duties are carried out in accordance with policies and practices of Cambridge Perfusion LLP Achieve the re-accreditation criteria of the College of Clinical Perfusion Scientists Have achieved all the criteria set out in CPS 94 Senior Perfusionist Competency Checklist Communication and working relationships Provide and receive complex information whilst communicating in an effective manner As a member of the multidisciplinary team, always be clear and courteous Accurately and promptly relay sensitive information to other members of the team when necessary Support other team members during, and after, stressful workplace events and take part in de-brief / post-op analysis, where appropriate Knowledge and Professional Practice Have a minimum of 2.5 years post qualification experience Be part of the team delivering 24/7 cover including on call and night shift Maintain the College of Clinical Perfusion Scientists of Great Britain and Ireland registration and comply with its professional code of conduct and guidelines Ensure a patient focussed clinical practice is maintained, monitored and audited. Have a current knowledge of best clinical practice Be able to discuss with colleagues and evaluate the management of individual patients to optimise the patients outcome Monitor, evaluate and contribute to changes in practice with the aim of improving patient care Utilise clinical knowledge and skills to support and supervise a Trainee clinical perfusion scientist Have an extensive working knowledge of advanced perfusion techniques and be competent in their theory and practical application Analytical and judgement skills Monitor a range of clinical information and act within procedural guidelines Have the adaptive skills that meet the individual needs of the patient, often in demanding clinical circumstances Develop reflective practice Information and resources Assist the departmental Systems Manager in the maintenance of I.S.O. 9001:2015 Quality standards documentation. Ensure that all information is handled according to appropriate Hospital Trust/Cambridge Perfusion Services LLP policies, procedures, and protocols Financial and physical resources Responsible for careful use of all aspects of perfusion related equipment and comply with local reporting procedures relating to faults. Work with other members of the team to maintain stock levels. Ensure that equipment is in a safe working order prior to use. All faults should be reported using the Event Reporting system. Health and Safety Have due regard for the personal safety of themselves and others with respect to current health and safety regulations Fulfil all mandatory training obligations as directed by the Trust and CPS LLP Make appropriate use of the available personal protective equipment Disassemble and remove contaminated clinical waste from theatre areas safely and ensure all equipment is disinfected according to local protocols Safely transfer patient on specialist devices between clinical areas showing regard for patient and personal safety Create, maintain and take responsibility for a healthy and safe working environment Take effective precautions to prevent the spread of infections to patients and colleagues Confidentiality and Safeguarding All employees must adhere to the Information Governance, Confidentiality and Information Security policies and procedures All staff are required to be familiar with the arrangements for safeguarding of vulnerable adults

What We Do:

At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of AI technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security.

As our government customers adopt AI and machine learning to provide leap-ahead mission capabilities, we

- build real-world, mission-scale AI capabilities through solving practical engineering problems

- discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities

- prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities

- identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape

Are you creative, curious, energetic, collaborative, technology-focused, and hard-working? Are you interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team.

Position Summary:

As a senior research scientist specializing in machine learning, you will identify, shape, apply, conduct, and lead research that matches critical U.S. government needs.

Requirements:

• BS in Computer Science or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD with five (5) years of experience.
• Flexible to travel to other SEI offices in Pittsburgh and Washington, DC, sponsor sites, conferences, and offsite meetings on occasion. Moderate (25%) travel outside of your home location.
• You will be subject to a background investigation and must be eligible to obtain and maintain a Department of Defense security clearance.
• Applicants for this position must be currently legally authorized to work for CMU in the United States. CMU will not sponsor or take over sponsorship of an employment visa for this opportunity.
  
   

Duties:

• Hands-on research: You’ll conduct and lead novel research in applied machine learning and artificial intelligence.
• Solution development: You’ll work with and lead interdisciplinary teams to turn research results into prototype operational capabilities for government customers and stakeholders.
• Strategy: You’ll work with Center leaders and colleagues to plan, develop, and carry out an overall research strategy, and to influence the national research agenda regarding future technology.
• Collaboration: You'll actively participate on teams of software developers, researchers, designers, and technical leads. You'll build relationships and collaborate with researchers, government customers, and other stakeholders to understand challenges, needs, possible solutions, and research directions.
• Mentoring: You'll contribute to improving the overall technical capabilities of the team by mentoring and teaching others, participating in design (software and otherwise) sessions, and sharing insights and wisdom across the SEI Artificial Intelligence Division.

Knowledge, Skills, and Abilities:

• Deep technical knowledge: You have performed extensive research in applied machine learning and artificial intelligence. You have worked with tools, techniques, algorithms, software, and programming languages for deep learning, reinforcement learning, statistics, sensors and sensor fusion, planning, computer vision, or related areas.
• Communication and Collaboration: You have strong written and verbal communication skills and can interact collaboratively and diplomatically with customers and colleagues. You grasp the big picture, direction, and goals of an effort while focusing great attention to detail. You can present complex ideas to people who may not have a deep understanding of the subject area.
• Dedication: You can meet deadlines while multi-tasking–sometimes under pressure and with shifting priorities.
• Creativity and Innovation: You are creative and curious, and you are inspired by the prospect of collaborating with premier researchers and visionaries at Carnegie Mellon and other universities and organizations. You quickly learn new procedures, techniques, and approaches. You are forward-looking and can connect research with practical challenges.
• Knowledge and Learning: You possess broad technical interests along with a deep knowledge of a particular field such as human-computer interaction, data analytics and machine learning, advanced computing, and autonomy and adaptive systems.

Desired Experience:

• Research practices and publications: You have a track record of conducting research in machine learning and artificial intelligence. You have a reputation for the highest level of research and technical integrity. You have demonstrated contributions and have published research.
• Familiarity with emerging trends and opportunities: You are familiar with technical challenges and emerging trends in computing and information science, and you are aware of opportunities in industry and government.
• Technical leadership: You have led research projects and have experience collaborating across research teams and mentoring other researchers.
• Proposals: You have formulated and delivered successful research proposals to funding agencies and led the resulting projects.
• Government projects: You have worked or are familiar with DARPA, IARPA, Service Labs, or other government research sponsors.

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Location

Arlington, VA, Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff – Regular

Full Time/Part time

Full time

Pay Basis

Salary

More Information: