Sr Scientist, Quantitative Bioimaging
for section headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. But we should only include sections when posting has real specific content. We have content for Responsibilities (Key Responsibilities). Qualifications (Basic and Preferred). Benefits (benefits package). Pay (compensation range). Schedule? Not mentioned. Skills? Could be part of Qualifications but we can have Skills section maybe from qualifications like proficiency with Python etc. However we must not create sections with filler. We have specific content for qualifications, responsibilities, benefits, pay. We can map:
- About the role: Could be from Job Description paragraph describing role. That's substantive. So include About the role.
- Responsibilities: Key Responsibilities.
- Qualifications: Basic Qualifications and Preferred Qualifications combined maybe under Qualifications.
- Skills: Could be extracted from qualifications (proficiency with Python, etc). But we might avoid duplication; better to keep Qualifications only. The instruction says prefer a few substantive sections over many thin ones. So we could have About the role, Responsibilities, Qualifications, Benefits, Pay. That's five sections.
We must not include Schedule (no info). Skills maybe not needed.
We must use for each section heading. Use - for any list of duties/requirements/benefits. Use
for prose.
We need to preserve ALL substantive information; do not invent or summarize away detail. So we need to include all details from the posting, but we can format them.
We must remove boilerplate: Company Description (maybe we keep as About the role? Actually Company Description is about AbbVie, not role. The instruction: "Do NOT repeat the job title as a heading (the page already shows it) and do NOT put Job ID / requisition numbers as headings — fold minor metadata into a short
or drop it." Also "Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions." So we need to remove the Company Description? It's not boilerplate but it's about the company. Might be considered part of job posting but not required? The instruction says preserve ALL substantive information; do NOT invent or summarize away detail. So we should keep company description? It's substantive about AbbVie. However the sections we can use: About the role (maybe includes company description?). But About the role heading is for role description, not company. Could we have a section "About AbbVie"? Not in allowed headings list. Allowed headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we must fit company description into one of those. Probably About the role can include both role and company description? But the instruction says About the role for section headings (e.g. About the role, Responsibilities...). So we can put company description under About the role as prose.
We also have Additional Information containing benefits, pay range, incentive programs, EEO statements (remove EEO). We need to keep benefits and pay range. Also note about short-term incentive program, long-term incentive program. That's part of benefits/compensation. We'll include in Benefits section maybe.
We must not include EEO/equal-opportunity boilerplate. So remove lines about AbbVie is an equal opportunity employer etc.
Also remove links? Probably keep them? They are part of company description maybe. But they might be considered navigation? Not sure. Safer to keep them as part of prose? The instruction: Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate. Links to equal opportunity pages are legal/EEO, so remove them. Also the follow @abbvie on social media maybe navigation? Could be considered boilerplate? Might be okay to keep? It's not legal/EEO. Might keep.
We need to preserve all substantive information: company mission, description, etc.
Let's extract substantive content:
Company Description:
- AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow.
- We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio.
- For more information about AbbVie, please visit us at www.abbvie.com.
- Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.
Job Description:
- We are seeking a Senior Scientist to advance quantitative bioimaging capabilities in support of immunology discovery research.
- In this role, you will work within a cross-functional team with access to multiple microscopy modalities, complex in vitro models, multimodal biological datasets, and advanced computational infrastructure.
- You will develop and apply quantitative imaging and machine-learning approaches to characterize cellular and tissue phenotypes, support the development of complex in vitro models, and generate insights that advance immunology discovery programs.
- The role sits at the intersection of biology, bioengineering, microscopy, and computational science; candidates who have combined expertise in two or more of these areas are especially encouraged to apply.
- This position is onsite in Worcester, Massachusetts.
Key Responsibilities (list):
- Develop, optimize, and apply imaging assays and quantitative image-analysis workflows for 2D and 3D cellular and tissue models across multiple microscopy platforms.
- Collaborate with wet-lab assay scientists, imaging specialists, and computational scientists from experimental design through image acquisition, analysis, and data delivery.
- Design and implement reproducible computer-vision and machine-learning pipelines for image segmentation, object detection, feature extraction, phenotypic profiling, and representation learning.
- Extract biologically meaningful, multiparametric features from high-content imaging datasets and use them to characterize disease-relevant phenotypes, mechanisms, and treatment responses.
- Establish practical quality-control and evaluation frameworks that assess image and assay quality, distinguish biological signal from technical artifacts, and define appropriate limitations and acceptance criteria.
- Apply statistical, machine-learning, and deep-learning methods to identify candidate imaging biomarkers and relate imaging phenotypes to molecular, functional, and other biological readouts.
- Maintain clear experimental and analytical records; analyze, visualize, and present results rigorously to both technical and nontechnical audiences.
- Stay current with advances in quantitative bioimaging, image analysis, computer vision, and foundation models for biological imaging, and evaluate opportunities to incorporate relevant approaches into team workflows.
Qualifications Basic:
- BS, MS, or PhD in engineering, biophysics, computational biology, imaging science or a related discipline, with typically 10-12+ (BS), 8-10+ (MS), or 0-4+ (PhD) years experience.
- Demonstrated experience with microscopy, high-content imaging, quantitative image analysis, or phenotypic in vitro assay development.
- Experience working with at least one relevant imaging modality or assay type, such as confocal, high-content imaging, or cell painting. Candidates should be able to assess image quality, recognize common artifacts, and interpret biologically meaningful phenotypes.
- Working knowledge of machine-learning or deep-learning approaches for biological imaging, with the ability to understand model behavior, assess performance, and contribute to appropriate evaluation strategies.
- Proficiency with the Python data-science ecosystem, including NumPy, pandas, Polars, scikit-learn, and/or PyTorch.
- Strong biological grounding, attention to experimental rigor, and demonstrated ability to collaborate effectively with wet-lab and computational colleagues.
- Excellent written, verbal, and presentation skills, including the ability to explain methods, results, assumptions, and limitations to diverse audiences.
Preferred Qualifications:
- Familiarity with complex in vitro models, such as organoids, organ-on-chip models and other advanced in vitro model platforms.
- Familiarity with image-based profiling, dimensionality-reduction methods, clustering, morphological feature analysis, or phenotypic similarity analysis.
- Peer-reviewed publications, patents, conference presentations, or other demonstrated scientific contributions in quantitative bioimaging, computer vision, computational biology, bioengineering, or a related field.
Additional Information (benefits/pay):
- Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
- We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
- This job is eligible to participate in our short-term incentive program.
- This job may be eligible to participate in our long-term incentive program.
- Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.
We need to remove EEO lines.
Now produce HTML.
Structure:
About the role
Company description paragraph(s) + job description paragraph(s). Combine into prose.
Responsibilities
- ... each responsibility
Qualifications
We could split into Basic and Preferred but maybe keep as one section with two subheadings? Not allowed subheadings? Only h3 allowed. Could we have two h3 sections: Basic Qualifications and Preferred Qualifications? But allowed headings list includes Qualifications only. However we could still use h3 for Basic Qualifications and Preferred Qualifications? The instruction: "use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." It says e.g., not exclusive. So we could use other headings but they gave examples. Safer to stick to those. So we can have one Qualifications section containing both basic and preferred, maybe using
for prose and
for lists.
We need to preserve all detail; we can include basic qualifications as a list, then preferred qualifications as another list.
Thus:
Qualifications
Basic Qualifications:
...
Preferred Qualifications:
...
But using strong inside p is okay.
Benefits
- Paid time off (vacation, holidays, sick)
- Medical/dental/vision insurance
- 401(k) to eligible employees
- Eligible to participate in short-term incentive program
- May be eligible to participate in long-term incentive program
Also we could include the note about compensation discretion? That's more about Pay.
Pay
The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.
We don't have
- for any list of duties/requirements/benefits. Use
for prose. We need to preserve ALL substantive information; do not invent or summarize away detail. So we need to include all details from the posting, but we can format them. We must remove boilerplate: Company Description (maybe we keep as About the role? Actually Company Description is about AbbVie, not role. The instruction: "Do NOT repeat the job title as a heading (the page already shows it) and do NOT put Job ID / requisition numbers as headings — fold minor metadata into a short
or drop it." Also "Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions." So we need to remove the Company Description? It's not boilerplate but it's about the company. Might be considered part of job posting but not required? The instruction says preserve ALL substantive information; do NOT invent or summarize away detail. So we should keep company description? It's substantive about AbbVie. However the sections we can use: About the role (maybe includes company description?). But About the role heading is for role description, not company. Could we have a section "About AbbVie"? Not in allowed headings list. Allowed headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we must fit company description into one of those. Probably About the role can include both role and company description? But the instruction says About the role for section headings (e.g. About the role, Responsibilities...). So we can put company description under About the role as prose. We also have Additional Information containing benefits, pay range, incentive programs, EEO statements (remove EEO). We need to keep benefits and pay range. Also note about short-term incentive program, long-term incentive program. That's part of benefits/compensation. We'll include in Benefits section maybe. We must not include EEO/equal-opportunity boilerplate. So remove lines about AbbVie is an equal opportunity employer etc. Also remove links? Probably keep them? They are part of company description maybe. But they might be considered navigation? Not sure. Safer to keep them as part of prose? The instruction: Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate. Links to equal opportunity pages are legal/EEO, so remove them. Also the follow @abbvie on social media maybe navigation? Could be considered boilerplate? Might be okay to keep? It's not legal/EEO. Might keep. We need to preserve all substantive information: company mission, description, etc. Let's extract substantive content: Company Description: - AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. - We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. - For more information about AbbVie, please visit us at www.abbvie.com. - Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube. Job Description: - We are seeking a Senior Scientist to advance quantitative bioimaging capabilities in support of immunology discovery research. - In this role, you will work within a cross-functional team with access to multiple microscopy modalities, complex in vitro models, multimodal biological datasets, and advanced computational infrastructure. - You will develop and apply quantitative imaging and machine-learning approaches to characterize cellular and tissue phenotypes, support the development of complex in vitro models, and generate insights that advance immunology discovery programs. - The role sits at the intersection of biology, bioengineering, microscopy, and computational science; candidates who have combined expertise in two or more of these areas are especially encouraged to apply. - This position is onsite in Worcester, Massachusetts. Key Responsibilities (list): - Develop, optimize, and apply imaging assays and quantitative image-analysis workflows for 2D and 3D cellular and tissue models across multiple microscopy platforms. - Collaborate with wet-lab assay scientists, imaging specialists, and computational scientists from experimental design through image acquisition, analysis, and data delivery. - Design and implement reproducible computer-vision and machine-learning pipelines for image segmentation, object detection, feature extraction, phenotypic profiling, and representation learning. - Extract biologically meaningful, multiparametric features from high-content imaging datasets and use them to characterize disease-relevant phenotypes, mechanisms, and treatment responses. - Establish practical quality-control and evaluation frameworks that assess image and assay quality, distinguish biological signal from technical artifacts, and define appropriate limitations and acceptance criteria. - Apply statistical, machine-learning, and deep-learning methods to identify candidate imaging biomarkers and relate imaging phenotypes to molecular, functional, and other biological readouts. - Maintain clear experimental and analytical records; analyze, visualize, and present results rigorously to both technical and nontechnical audiences. - Stay current with advances in quantitative bioimaging, image analysis, computer vision, and foundation models for biological imaging, and evaluate opportunities to incorporate relevant approaches into team workflows. Qualifications Basic: - BS, MS, or PhD in engineering, biophysics, computational biology, imaging science or a related discipline, with typically 10-12+ (BS), 8-10+ (MS), or 0-4+ (PhD) years experience. - Demonstrated experience with microscopy, high-content imaging, quantitative image analysis, or phenotypic in vitro assay development. - Experience working with at least one relevant imaging modality or assay type, such as confocal, high-content imaging, or cell painting. Candidates should be able to assess image quality, recognize common artifacts, and interpret biologically meaningful phenotypes. - Working knowledge of machine-learning or deep-learning approaches for biological imaging, with the ability to understand model behavior, assess performance, and contribute to appropriate evaluation strategies. - Proficiency with the Python data-science ecosystem, including NumPy, pandas, Polars, scikit-learn, and/or PyTorch. - Strong biological grounding, attention to experimental rigor, and demonstrated ability to collaborate effectively with wet-lab and computational colleagues. - Excellent written, verbal, and presentation skills, including the ability to explain methods, results, assumptions, and limitations to diverse audiences. Preferred Qualifications: - Familiarity with complex in vitro models, such as organoids, organ-on-chip models and other advanced in vitro model platforms. - Familiarity with image-based profiling, dimensionality-reduction methods, clustering, morphological feature analysis, or phenotypic similarity analysis. - Peer-reviewed publications, patents, conference presentations, or other demonstrated scientific contributions in quantitative bioimaging, computer vision, computational biology, bioengineering, or a related field. Additional Information (benefits/pay): - Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. - We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. - This job is eligible to participate in our short-term incentive program. - This job may be eligible to participate in our long-term incentive program. - Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. We need to remove EEO lines. Now produce HTML. Structure:
About the role
Company description paragraph(s) + job description paragraph(s). Combine into prose.
Responsibilities
- ... each responsibility
Qualifications
We could split into Basic and Preferred but maybe keep as one section with two subheadings? Not allowed subheadings? Only h3 allowed. Could we have two h3 sections: Basic Qualifications and Preferred Qualifications? But allowed headings list includes Qualifications only. However we could still use h3 for Basic Qualifications and Preferred Qualifications? The instruction: "usefor section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." It says e.g., not exclusive. So we could use other headings but they gave examples. Safer to stick to those. So we can have one Qualifications section containing both basic and preferred, maybe using
for prose and
- for lists.
We need to preserve all detail; we can include basic qualifications as a list, then preferred qualifications as another list.
Thus:
- Paid time off (vacation, holidays, sick)
- Medical/dental/vision insurance
- 401(k) to eligible employees
- Eligible to participate in short-term incentive program
- May be eligible to participate in long-term incentive program
Qualifications
Basic Qualifications:
- ...
Preferred Qualifications:
- ...
Benefits
Pay
The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.
We don't have