BioSpace Jobs — The Niche Biotech Board Big Lead-Gen Misses

Built for Jean (SSM) by Saad Belcaid.

This scraper finds biotech and pharma hiring managers who post on BioSpace.com — the specialist board most lead-gen tools ignore because it doesn't show up in Google Jobs aggregation.

If you sell to biotech (CRO services, biostats, regulatory consulting, recruitment, lab services, software, equipment), the companies hiring on BioSpace are the ones nobody else is calling.

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The dumb-simple version

Big lead-gen tools (the ones every SDR spams) feed off Google Jobs. Google Jobs aggregates Indeed, LinkedIn, Glassdoor — but not specialist boards like BioSpace. So when a small biotech posts only on BioSpace, every lead-gen agency in your inbox misses them. You don't.

This scraper:

1. Reads BioSpace's job board (cookie-paginated, no scraping fragility — Madgex platform exposes job IDs cleanly)
2. Pulls the structured JobPosting data each listing publishes (title, company, location, description, dates)
3. Tags every listing with three classifiers — therapeutic area, drug modality, job function
4. Calculates hiring urgency from how long the role has been open
5. Optionally enriches each company's size via Apollo's free people-search endpoint
6. Outputs one row per listing with a one-line signal you can paste into a CRM

UK and US listings. No browser. No proxies. Just JSON-LD.

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Why hiring = buying

A biotech hiring a VP of Clinical Operations is buying CRO services within 90 days. A biotech hiring a Head of Regulatory is about to file an IND or BLA. A biotech hiring Head of CMC is scaling manufacturing — they need contract manufacturers, quality consultants, process equipment.

Every job posting is a demand signal with a 60-180 day decision window. Catch them while they're staffing up, before the role closes and the budget goes elsewhere.

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Read this before you run anything

Don't scrape it all in one go. Run it daily.

Yes, you can set maxJobs: 5000 and pull all 3,000+ active BioSpace listings in one run. Don't. Here's why:

A biotech hiring manager who posted a role today picks up the phone. One who posted 30 days ago has either filled the role, given up, or already heard from every other agency. The job's age is the dial.

Day a role was posted	What's happening
Day 0–3 (fresh)	Hiring manager is excited. Calling now beats every competitor by 2 weeks.
Day 4–13 (normal)	Normal pipeline cadence.
Day 14–29 (high)	Recruiter is starting to sweat. Now they need help.
Day 30+ (critical)	They CAN'T fill it. They will pay anyone who can. Hot.
Day 60+	Either filled or dead. Don't waste outreach.

Math: a daily drip is 10× more lead value than a quarterly bulk dump.

200 fresh leads/day × 30 days = 6,000 leads, every single one in its hottest 2-week window. One bulk dump every quarter = 3,000 leads with mixed ages, half of them already cold. Daily wins.

There's exactly one reason to do a big bulk run: the very first time, to map the universe once and seed your CRM. After that, daily.

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Max-value playbook

THE main loop — daily drip (set this up first)

maxJobs: 200
maxDaysOld: 7
politeDelayMs: 300
# leave filters empty for full coverage; narrow in the dataset

Schedule it: cron 0 9 * * 1-5 (9am UTC, Mon–Fri). Apify will run it every weekday morning. Each run pushes 100–250 fresh-this-week biotech listings into your dataset. Your CRM imports them. You call them while they're hot.

That's it. That's the system.

Triage in your CRM (or directly in the dataset)

If you sell...	Filter rows by...
CRO / clinical trial services	function_bucket = clinical_operations AND hiring_urgency ∈ {high, critical}
Regulatory consulting	function_bucket = regulatory_affairs
Biostats / data services	function_bucket ∈ {biostatistics, data_bioinformatics}
Manufacturing / CDMO	function_bucket = manufacturing_cmc
Recruitment / executive search	hiring_urgency = critical (open 30+ days = stuck = will pay)
Lab equipment / reagents	function_bucket = research AND modality ∈ {gene_therapy, cell_therapy, mrna_lnp}
Tax / legal / corp services	function_bucket ∈ {finance_legal, business_development}

Optional — one-time bulk seed

Only do this once, on day zero, to backfill your CRM with the existing universe. Then never again — the daily loop takes over.

maxJobs: 5000
maxDaysOld: 30
politeDelayMs: 300

Wait ~45 min. Expect 2,500–3,500 rows. Import to CRM. Then enable the daily schedule and forget this exists.

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Filter recipes (copy-paste)

"I want oncology biotech hiring this week"

therapeuticAreas: ["oncology"]
maxDaysOld: 7
maxJobs: 300

"I want gene/cell therapy companies hiring at any function"

modalities: ["gene_therapy", "cell_therapy", "mrna_lnp"]
maxJobs: 500

"I want struggling-to-fill clinical ops roles (sell CROs)"

functionBuckets: ["clinical_operations"]
maxDaysOld: 60
# After: filter dataset by hiring_urgency = critical (30+ days open)

"I want UK biotech only"

location: "United Kingdom"
maxJobs: 500

"I want commercial/BD roles at antibody companies (deal flow)"

modalities: ["antibody_biologic"]
functionBuckets: ["business_development", "commercial"]

"I want CMC / manufacturing struggles (sell to operations)"

functionBuckets: ["manufacturing_cmc", "quality"]
maxDaysOld: 45

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What each row tells you

Field	Example
job_title	VP, Clinical Operations
company_name	Acme Therapeutics
company_size	51-200 (with Apollo key)
company_domain	acmetx.com
therapeutic_area	oncology
modality	antibody_biologic
function_bucket	clinical_operations
location	Cambridge, Massachusetts, US
locality, region, country, postal_code	breakdown for filtering
remote	true / false
employment_type	FULL_TIME
salary_min, salary_max, salary_currency	when listed
date_posted, valid_through	ISO dates
days_listed	14
hiring_urgency	fresh / normal / high / critical
description_text	full plain-text job description
apply_url	direct link to apply
signal	"Acme Therapeutics (antibody biologic, oncology) hiring clinical operations (VP, Clinical Operations) — open 14 days, struggling to fill"
scraped_at	ISO timestamp

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Therapeutic areas (the dial for who they treat)

Label	Catches
oncology	cancer, tumor, leukemia, lymphoma, melanoma, metastatic
immunology	autoimmune, lupus, allergy, asthma, atopic, psoriasis
neurology_cns	Alzheimer, Parkinson, ALS, MS, depression, epilepsy
cardiovascular	heart failure, coronary, thrombosis, hypertension
metabolic	diabetes, obesity, NASH, fatty liver, endocrine
rare_disease	orphan drug, ultra-rare
ophthalmology	retina, macular, glaucoma, vision
gastroenterology	Crohn, ulcerative colitis, IBD
respiratory	COPD, pulmonary
dermatology	skin disease
infectious	antiviral, antibiotic, HIV, hepatitis, COVID
womens_health	gynecology, fertility, menopause
pediatric	pediatric, neonatal
hematology	sickle cell, hemophilia, thalassemia
nephrology	renal, kidney, dialysis
urology	urology

Modalities (the dial for what they make)

Label	Catches
mrna_lnp	mRNA, lipid nanoparticle
gene_therapy	AAV, CRISPR, gene editing, viral vector
cell_therapy	CAR-T, CAR-NK, allogeneic, autologous, TCR-T
antibody_biologic	mAb, bispecific, ADC, biosimilar
vaccine	vaccine, immunization, adjuvant
small_molecule	small molecule, kinase inhibitor, PROTAC
oligonucleotide	antisense, siRNA, ASO
medical_device	wearable, implantable
diagnostic	IVD, companion diagnostic, liquid biopsy
digital_health	digital therapeutic, SaMD

Function buckets (the dial for who you sell to)

Label	Catches
clinical_operations	clinical trial, CRA, study manager
regulatory_affairs	RA, FDA submission, IND, BLA, NDA
medical_affairs	medical affairs, MSL
biostatistics	biostat, SAS programmer
pharmacovigilance	PV, drug safety
quality	QA, QC, GxP, GMP
manufacturing_cmc	CMC, process development, fermentation
research	research scientist, PI, discovery, preclinical
business_development	BD, licensing, alliance management
commercial	sales, marketing, market access, brand manager
finance_legal	CFO, general counsel, IP counsel
data_bioinformatics	bioinformatics, computational biology, ML
hr_talent	talent acquisition, HR, recruiter

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Hiring urgency

Urgency	Days listed	What it means
fresh	0–2	Just posted — ride the energy
normal	3–13	Active search
high	14–29	Recruiter struggling
critical	30+	They CAN'T fill this role — call them today

critical rows are the ones to call first. A 30-day-open VP-level biotech role means the hiring manager is in pain. They will pick up your phone.

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Input options

Field	Default	Description
searchKeywords	""	Free-text BioSpace search. e.g. "oncology", "CMC"
location	""	Location filter. e.g. "Cambridge, MA"
maxJobs	200	Cap on detail pages fetched per run
maxDaysOld	14	Drop listings older than N days. 0 = no age filter
therapeuticAreas	[]	Restrict to e.g. ["oncology","immunology"]
modalities	[]	Restrict to e.g. ["gene_therapy","mrna_lnp"]
functionBuckets	[]	Restrict to e.g. ["clinical_operations"]
apolloApiKey	(empty)	Optional. Free Apollo key for company size enrichment
politeDelayMs	400	Throttle between detail fetches

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How it works under the hood

• Search: hits https://jobs.biospace.com/jobs/?Keywords=X&Page=N. Each response sets a cookie JobSearchResultIds=ID1|ID2|…|ID20 with the IDs on that page. We read the cookie — no HTML scraping needed for the listing page.
• Detail: each /job/{ID} page embeds a <script type="application/ld+json"> block with the full schema.org JobPosting (title, company, location, description, dates, employment type, salary). We parse that — no DOM scrapes.
• Classification: deterministic keyword match on (title + description). Each rule's keyword list is curated. No AI in the hot path.
• Enrichment: if you pass an Apollo key, we hit mixed_people/search (the free Apollo endpoint, 0 credits) and read organization.estimated_num_employees. Per-company cache in memory, so no duplicate calls.
• Polite throttling: 400ms default delay between detail fetches. Tunable.

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Apollo enrichment (optional but worth it)

Add a free Apollo key to enrich every row with company_size, company_domain, company_employee_count. The endpoint we use (mixed_people/search) costs 0 credits — Apollo's free tier is more than enough for tens of thousands of company lookups.

Sign up at apollo.io → Settings → API Keys → paste in the input.

Without it: every row still has therapeutic area, modality, function, urgency, and the signal sentence. Apollo just adds size and domain.

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Costs

• BioSpace: free (public job board, polite scraping)
• Apollo (optional): free tier is enough
• Apify compute: ~5–15 min per 200-job run × 1024 MB ≈ trivial CU

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Connector OS Station integration

Pipe the dataset into Station as the demand side. Each row's signal field plugs straight into the I Layer for evaluation against your supply network (CROs, regulatory consultants, biostats firms, etc.).

Flow: scrape → dataset → paste dataset ID into Station → match against your supply → scored introductions.

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Built by Saad Belcaid for Jean's SSM workflow. Data sourced from BioSpace.com (public listings) and Apollo's free People Search endpoint. Polite, no proxies, no DOM brittleness.