Total 10 human resources job vacancies in new york ny usa

Understanding the pharmaco/nutrico/toxicokinetic behaviour of drugs, chemicals and food ingredients is a fundamental step in assessing the efficacy and safety of these materials. It can be challenging to study such substances directly in human subjects, while animal models lack direct translatability to humans due to inherent differences in species biology. One promising strategy is the use of physiologically-based pharmacokinetic (PBPK) modelling to predict the local tissue and systemic exposure of these substances. We have developed in-house in vitro and in silico tools to model chemical absorption, distribution, metabolism and excretion (ADME) in humans using data generated from in vitro assays. We apply these tools to predict pharmacokinetic profiles in different settings, ranging from oral or transdermal administration to studying special populations such as pregnant women, for a variety of substances including pharmaceuticals, food ingredients, environmental contaminants, essential micronutrients and microbial metabolites. These capabilities are further enhanced with state-of-the-art, enabling technologies such as the SHIME® intestinal digestion simulator and spatial mass spectrometry imaging.

The following tasks are expected of the candidate:

• Literature search to extract relevant ADME data for chemicals of interest
• Perform in vitro absorption, transporter, metabolism, fraction unbound and other related ADME assays
• Quantify membrane protein, metabolic enzyme and xenobiotic concentrations within biological samples using liquid chromatography-tandem mass spectrometry (LC/MS/MS) instruments
• Integrate appropriate in vitro and in silico data into PBPK models to predict the ADME of chemicals
• Develop new and/or improve features of in-house models, including pharmacodynamic modelling
• Write scientific grant proposals, maintain laboratory notebooks, prepare scientific reports, presentations and manuscripts
• Supervise and train students and interns

Qualifications

• PhD in Pharmaceutical Science, Life Sciences or equivalent.
• Strong understanding of ADME and pharmacokinetic concepts is essential.
• Prior experience in in vitro ADME assays and analytical mass spectrometry workflows is desirable.
• Prior experience with PBPK tools such as Simcyp®, GastroplusTM, PK Sim, Matlab/Simbiology or other models is desirable.
• Able to work in a multi-disciplinary team, possess strong organizational and project management skills, demonstrate initiative and able to work independently.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Understanding the pharmaco/nutrico/toxicokinetic behaviour of drugs, chemicals and food ingredients is a fundamental step in assessing the efficacy and safety of these materials. It can be challenging to study such substances directly in human subjects, while animal models lack direct translatability to humans due to inherent differences in species biology. One promising strategy is the use of physiologically-based pharmacokinetic (PBPK) modelling to predict the local tissue and systemic exposure of these substances. We have developed in-house in vitro and in silico tools to model chemical absorption, distribution, metabolism and excretion (ADME) in humans using data generated from in vitro assays. We apply these tools to predict pharmacokinetic profiles in different settings, ranging from oral or transdermal administration to studying special populations such as pregnant women, for a variety of substances including pharmaceuticals, food ingredients, environmental contaminants, essential micronutrients and microbial metabolites. These capabilities are further enhanced with state-of-the-art, enabling technologies such as the SHIME® intestinal digestion simulator and spatial mass spectrometry imaging.

The following tasks are expected of the candidate:

• Literature search to extract relevant ADME data for chemicals of interest
• Perform in vitro absorption, transporter, metabolism, fraction unbound and other related ADME assays
• Quantify membrane protein, metabolic enzyme and xenobiotic concentrations within biological samples using liquid chromatography-tandem mass spectrometry (LC/MS/MS) instruments
• Integrate appropriate in vitro and in silico data into PBPK models to predict the ADME of chemicals
• Develop new and/or improve features of in-house models, including pharmacodynamic modelling
• Write scientific grant proposals, maintain laboratory notebooks, prepare scientific reports, presentations and manuscripts
• Supervise and train students and interns

Qualifications

• PhD in Pharmaceutical Science, Life Sciences or equivalent.
• Strong understanding of ADME and pharmacokinetic concepts is essential.
• Prior experience in in vitro ADME assays and analytical mass spectrometry workflows is desirable.
• Prior experience with PBPK tools such as Simcyp®, GastroplusTM, PK Sim, Matlab/Simbiology or other models is desirable.
• Able to work in a multi-disciplinary team, possess strong organizational and project management skills, demonstrate initiative and able to work independently.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Understanding the pharmaco/ nutrico/ toxicokinetic behaviour of drugs, chemicals and food ingredients is a fundamental step in assessing the efficacy and safety of these materials. It can be challenging to study such substances directly in human subjects, while animal models lack direct translatability to humans due to inherent differences in species biology. One promising strategy is the use of physiologically-based pharmacokinetic (PBPK) modelling to predict the local tissue and systemic exposure of these substances. We have developed in-house in vitro and in silico tools to model chemical absorption, distribution, metabolism and excretion (ADME) in humans using data generated from in vitro assays. We apply these tools to predict pharmacokinetic profiles in different settings, ranging from oral or transdermal administration to studying special populations such as pregnant women, for a variety of substances including pharmaceuticals, food ingredients, environmental contaminants, essential micronutrients and microbial metabolites. These capabilities are further enhanced with state-of-the-art, enabling technologies such as the SHIME® intestinal digestion simulator and spatial mass spectrometry imaging.

The candidate in this position will be expected to be involved in the following activities:

• Literature search to extract relevant ADME data for chemicals of interest.
• Perform in vitro absorption, transporter, metabolism, fraction unbound and other related ADME assays.
• Quantify membrane protein, metabolic enzyme and xenobiotic concentrations within biological samples using liquid chromatography-tandem mass spectrometry (LC/MS/MS) instruments.
• Integrate appropriate in vitro and in silico data into PBPK models to predict the ADME of chemicals.
• Develop new and/or improve features of in-house models, including pharmacodynamic modelling.
• Write scientific grant proposals, maintain laboratory notebooks, prepare scientific reports, presentations and manuscripts.
• Supervise and train students and interns.

Qualifications

• PhD in Pharmaceutical Science, Life Sciences or equivalent.
• Strong understanding of ADME and pharmacokinetic concepts is essential.
• Prior experience in in vitro ADME assays and analytical mass spectrometry workflows is desirable.
• Prior experience with PBPK tools such as Simcyp®, GastroplusTM, PK Sim, Matlab/ Simbiology or other models is desirable.
• Able to work in a multi-disciplinary team, possess strong organizational and project management skills, demonstrate initiative and able to work independently.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Description:

We are seeking an enthusiastic and capable full-time Postdoctoral Fellow for the project at the A*STAR Singapore Institute of Clinical Science (SICS). The candidate should have expertise in family, children and teenagers development and have a social science background. The appointment will be tenable for 1.5 years at the first instance, with the possibility of renewal.

Requirements:

• A Ph.D. degree in Social Sciences discipline from a recognized university
• Research expertise in topics related to trends and changes in child and teenagers development
• experience with survey operation in longitudinal studies
• Advanced quantitative research skills
• Publication record in areas related to the above-specified research areas
• Excellent written and spoken communication skills
• Strong organizational skill and interpersonal skill
• Other ad-hoc duties as assigned

We are seeking an enthusiastic and capable full-time Postdoctoral Fellow for the project at the A*STAR Singapore Institute for Clinical Science (SICS). The candidate should have expertise in family and population issues, especially children’s development and have a social science background.

Requirements:

• A Ph.D. degree in Social Sciences discipline from a recognized university
• Research expertise in topics related to trends and changes in family, population and child development
• Min. 3 years of experience with survey operation in longitudinal studies
• Advanced quantitative research skills
• Publication record in areas related to the above-specified research areas
• Excellent written and spoken communication skills
• Strong organizational skill and interpersonal skill
• Experience with large-scale longitudinal surveys on early childhood is strongly desirable
• Other ad-hoc duties as assigned

Job Description

The Human Development Department at the Singapore Institute for Clinical Sciences, A*STAR, is looking for a senior bioinformatician with a keen interest in the gut microbiome and its impact on human health. The ideal candidate will have the unique opportunity to work in a dynamic, interdisciplinary environment. This role offers exclusive access to a rich array of clinical and omics data (specifically metagenomics and metabolomics data), enabling the candidate to explore and contribute to our understanding of the gut microbiome's role in promoting the health of women and children. We are seeking an individual who is not only experienced in bioinformatics but also passionate about translating complex data into meaningful insights for health and well-being.

Job Responsibilities

• Be responsible for metagenomics and other omics data processing and quality control.
• Perform integrative analysis on omics datasets, including but not limited to metagenomics, metatranscriptomics, metabolomics, proteomics.
• Setup bioinformatics tools/workflow, and develop applications with R Shiny, Python Dash or Matlab.
• Analyze data, interpret results and plan next step.
• Update project and prepare summary report regularly.
• Perform general data and server housekeeping.

Job Requirements

• A degree or masters in Computational Biology/Computer Science/Applied Mathematics/Applied Statistics.
• Strong analytical and programming skills (Python, R, Perl, or Matlab, UNIX environment).
• Experience with modeling, machine learning, and deep learning.
• Experience with metagenomics, metatranscriptomics, and metabolomics will be a plus.
• Strong project management and communication skill

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Job Responsibilities:

• Assist PI with trouble shooting scientific issues, develop and improve operational processes
• Perform literature search and design study related documents
• Support data cleaning and analysis activities
• Prepare scientific reports and presentations

Job Requirements:

• Ph.D. degree in Biomedical Sciences or a closely related field.
• Highly self-motivated with excellent communication and writing skills.
• Strong desire to learn in a dynamicmulti-disciplinary research environment.
• Previous experience in clinical research and management experience are ideal (0-2 years’ experience)

An exciting opportunity has risen for a highly motivated Senior Research Fellow to join the Singapore Institute for Clinical Sciences (SICS) to work with a collaborative and multidisciplinary team for the project “Completing the Picture: Strengthening Fathers" Roles in Early Child Health and Neurodevelopment Through Targeted Interventions”. The SRF will be responsible for leading data-intensive quantitative research on the interactions between familial environmental, focusing strongly on comparing paternal factors with maternal and other household member factors, and the broader environment (e.g. built and natural environment) on child health, well-being, and development. The SRF will utilize skills in big data management, especially harmonizing and linking geospatiotemporal data with longitudinal cohort data, as well as quantitative causal inference and quasi-experimental techniques, to produce new scientific knowledge, write manuscripts, create presentations and reports, and brief collaborators and other stakeholders (academic, government, community, industry, etc.) as needed.

Job Responsibilities:

The successful candidate will be expected to engage in the following:

• Big data (geospatialtemoporal, multi-modal longitudinal cohort) management, processing, and analysis from a variety of sources (academic, government)
• Conduct quantitative causal inference analyses, e.g. quasi-experimental, instrumental variable, fixed-effects, difference-in-difference, etc.
• Where appropriate, conduct or advise on economic considerations in research, practice, or policy (e.g. program evaluation, cost-benefit analyses)
• Proactively seek out obtain, or develop new data sources that will support or expand the research
• Prepare reports and presentations for internal and external stakeholders
• Leading communications with internal and external project stakeholders, including coordinating and conducting briefings
• Write manuscripts for publication in high-impact journals
• Work closely with the PI and research team while showing a high degree of autonomy and proactiveness

Job Requirements

• Qualification & Field of Study: PhD in relevant quantitatively-focused discipline (e.g., Biostatistics, Economics with focus on Econometrics and causal inference methods).
• Min. Years of Experience: 3 years
• Other Requirements (e.g. Skills, Competencies):
  • Experience and expertise in joining geospatialtemoporal data to longitudinal cohort data and harmonizing data across cohorts for the purposes of data analysis
  • Experience and expertise obtaining, constructing, or developing measures and indicators of built and natural environment, human behavior (movement/migration), and other areal characteristics
  • Strong quantitative skills, particularly in causal inference
  • Strong knowledge of statistical programming in Python and/or R
  • Strong skills in data management and workflow documentation and commitment to open and reproduceable research
  • Evidence of peer-reviewed publications and conference papers in line with career stage
  • Well-organized with strong attention to detail
  • A team player with an ability to work independently
  • Self-motivated in striving for the most rigorous science

Contact

For more information about the position, potential applicants are encouraged to contact Dr. Keri McCrickerd (keri_mccrickerd@sics.a-star.edu.sg) directly with any questions.

Job Responsibilities:

• Assist PI with trouble shooting scientific issues, develop and improve operational processes
• Perform literature search and design study related documents
• Support data cleaning and analysis activities
• Prepare scientific reports and presentations

Job Requirements:

• Ph.D. degree in Biomedical Sciences or a closely related field.
• Highly self-motivated with excellent communication and writing skills.
• Strong desire to learn in a dynamicmulti-disciplinary research environment.

Previous experience in clinical research and management experience are ideal 0-2 years’ experience

We are seeking an enthusiastic and capable full-time Research Officer for the above project, a large-scale project on childhood development, family, and population issues in Singapore. The RO will assist in survey operations, data management and analysis, literature review, writing of reports and administrative support.

Qualifications

• Bachelor’s degree (preferably Honours) or equivalent in statistics or social sciences
• Experience in conducting research such as an honours thesis or involvement in a research project
• Strong writing skills
• Strong quantitative research skills. A good grasp of data analytic software such as SPSS, STATA, or R
• Strong organizational and interpersonal skills
• Proficient in Microsoft Office Suite
• Ability to collaborate with a large team and to work independently when necessary

Terms and Conditions

The appointment is tenable for 1 year, with the possibility of renewal pending on budget. Remuneration package is commensurate to qualifications and experience.

Projected date of commencement: April, 2024

Review of applications will start till the position is filled. We regret that only shortlisted candidates will be notified via email.